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    <h1><span class="markedContent" id="page53R_mcid0"><span
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          role="presentation" dir="ltr">Tenure-track Assistant Professor
          in Deep Learning Methods & Applications</span></span><span
        class="markedContent" id="page53R_mcid1"></span><span
        class="markedContent" id="page53R_mcid2"></span></h1>
    <p><span class="markedContent" id="page53R_mcid2"><span style="left:
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          dir="ltr">We are recruiting a tenure-track assistant professor
          who will establish a cutting-edge research program</span><br
          role="presentation">
        <span style="left: 80.415px; top: 108.345px; font-size: 15px;
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          role="presentation" dir="ltr">in deep learning methods &
          applications. The successful candidate will join the Institute
          of Artificial</span><br role="presentation">
        <span style="left: 80.415px; top: 126.945px; font-size: 15px;
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          role="presentation" dir="ltr">Intelligence at the Medical
          University of Vienna, with ample opportunities to integrate
          into the European</span><br role="presentation">
        <span style="left: 80.415px; top: 145.74px; font-size: 15px;
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          role="presentation" dir="ltr">research landscape, including
          the European Lab for Learning and Intelligent Systems (ELLIS)
          and Euro-</span><br role="presentation">
        <span style="left: 80.415px; top: 164.535px; font-size: 15px;
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          role="presentation" dir="ltr">pean Health Data Space. This is
          a university-funded tenure-track position with startup package
          / core</span><br role="presentation">
        <span style="left: 80.43px; top: 183.33px; font-size: 15px;
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          role="presentation" dir="ltr">funding. The call is open to
          candidates seeking to establish their first independent group
          (~ERC Starting</span><br role="presentation">
        <span style="left: 80.445px; top: 202.125px; font-size: 15px;
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          role="presentation" dir="ltr">Grant) as well as to candidates
          who are already established group leaders (~ERC Consolidator
          Grant).</span></span><span class="markedContent"
        id="page53R_mcid3"></span><span class="markedContent"
        id="page53R_mcid4"><br role="presentation">
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        </span></span></p>
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          role="presentation" dir="ltr">The Goal</span></span><span
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    <h2><span class="markedContent" id="page53R_mcid5"></span></h2>
    <p><span class="markedContent" id="page53R_mcid5"><span style="left:
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          dir="ltr">Machine learning is transforming medicine, for
          example by enabling physicians to incorporate vast amounts of
          data and knowledge into each</span><span style="left: 80.46px;
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          of their clinical decisions. Machine learning also advances
          our understanding of the biology that underlies human
          diseases, with future perspec</span><span style="left:
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          dir="ltr">tives to identify molecular disease mechanisms in
          each individual patient and to devise personalized therapies.
          Researchers at the Medical</span><span style="left: 80.46px;
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          University of Vienna, together with the CeMM Research Center
          for Molecular Medicine and the Austrian Academy of Sciences,
          are working to</span><span style="left: 80.46px; top: 333.9px;
          font-size: 15px; font-family: sans-serif; transform:
          scaleX(0.97821);" role="presentation" dir="ltr"> establish an
          ambitious research program focusing on “Machine Learning in
          Biology and Medicine”, with three pillars: (i) methodological
          research</span><span style="left: 80.46px; top: 352.695px;
          font-size: 15px; font-family: sans-serif; transform:
          scaleX(1.00526);" role="presentation" dir="ltr"> in machine
          learning, focusing on interpretable deep learning, causal
          modeling, federated machine learning, and time series
          analysis; (ii) proof-</span><span style="left: 80.46px; top:
          371.49px; font-size: 15px; font-family: sans-serif; transform:
          scaleX(1.00367);" role="presentation" dir="ltr">of-concept
          applications in biology and medicine, including personalized
          medicine and systems biology; (iii) dissemination and impact
          through</span><span style="left: 80.46px; top: 390.285px;
          font-size: 15px; font-family: sans-serif; transform:
          scaleX(1.01822);" role="presentation" dir="ltr"> sustainable
          clinical applications, contribution to international
          consortia, creation of startup companies, and a commitment to
          research-centric</span><span style="left: 80.445px; top:
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          teaching and public outreach. The successful candidate will
          contribute creatively and proactively to one or more of these
          directions.</span></span></p>
    <p><span class="markedContent" id="page53R_mcid5"><span style="left:
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          dir="ltr"></span></span><span class="markedContent"
        id="page53R_mcid6"></span><span class="markedContent"
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      </span></p>
    <h2><span class="markedContent" id="page53R_mcid7"><span
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          role="presentation" dir="ltr">The Candidate</span></span><span
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    <h2><span class="markedContent" id="page53R_mcid8"></span></h2>
    <p><span class="markedContent" id="page53R_mcid8"><span style="left:
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          dir="ltr">We are looking for candidates with strong expertise
          in deep learning methodology & applications and the
          ambition to lead an academic research</span><span style="left:
          80.445px; top: 484.68px; font-size: 15px; font-family:
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          dir="ltr"> group that will pursue world-class research in this
          area. The ideal candidates will have a strong publication
          record in methodological research</span><span style="left:
          80.46px; top: 503.475px; font-size: 15px; font-family:
          sans-serif; transform: scaleX(1.01315);" role="presentation"
          dir="ltr"> (e.g., papers at leading machine learning
          conferences, journals, widely cited preprints) and a current
          or future interest in applying their exper</span><span
          style="left: 80.46px; top: 522.075px; font-size: 15px;
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          role="presentation" dir="ltr">tise in medicine or biology, in
          collaboration with biomedical and clinical researchers. A
          typical background would be a PhD and some postdoctoral</span><span
          style="left: 80.46px; top: 540.87px; font-size: 15px;
          font-family: sans-serif; transform: scaleX(0.998774);"
          role="presentation" dir="ltr"> research in machine learning,
          computer science, statistics, bioinformatics or another
          quantitative field, ideally combining methodologically and</span><span
          style="left: 80.46px; top: 559.665px; font-size: 15px;
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          role="presentation" dir="ltr"> applied research. We are open
          to early-stage candidates who want to start their first
          independent research group, and to established group</span><span
          style="left: 80.46px; top: 578.46px; font-size: 15px;
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          role="presentation" dir="ltr"> leaders who are looking for new
          challenges (e.g., moving closer to applications in medicine or
          biology). Responsibilities and support will be</span><span
          style="left: 80.46px; top: 597.255px; font-size: 15px;
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          role="presentation" dir="ltr"> commensurate with experience
          and level of seniority. The position does not require any
          undergraduate teaching but does provide opportunities</span><span
          style="left: 80.475px; top: 616.05px; font-size: 15px;
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          role="presentation" dir="ltr"> to contribute to graduate-level
          teaching and curriculum development. Prior experience in
          teaching machine learning is therefore a plus. Ger</span><span
          style="left: 80.46px; top: 634.845px; font-size: 15px;
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          role="presentation" dir="ltr">man-language skills are not
          required (graduate-level teaching is in English), and both the
          city and the university provide a highly international</span><span
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          role="presentation" dir="ltr"> environment. Vienna as a city
          and the university as an employer provide a family-friendly
          environment with essentially free kindergarten and</span><span
          style="left: 80.46px; top: 672.435px; font-size: 15px;
          font-family: sans-serif; transform: scaleX(1.0197);"
          role="presentation" dir="ltr"> daycare for children aged 1 to
          6, a high-quality public school system, and many international
          schools. The university provides a tenure-track</span><span
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          font-family: sans-serif; transform: scaleX(1.01604);"
          role="presentation" dir="ltr"> position with a highly
          competitive personal salary, an excellent employee benefits
          package, and a startup package / core funding.</span></span><span
        class="markedContent" id="page53R_mcid9"></span><span
        class="markedContent" id="page53R_mcid10"><br
          role="presentation">
        <span style="left: 80.46px; top: 729.24px; font-size: 15px;
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          role="presentation" dir="ltr"><br>
        </span></span></p>
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          role="presentation" dir="ltr">The Host Institution</span></span><span
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    <h2><span class="markedContent" id="page53R_mcid11"></span></h2>
    <p><span class="markedContent" id="page53R_mcid11"><span
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          role="presentation" dir="ltr">The Medical University of Vienna
          is Europe’s largest medical school and one of the oldest in
          the world. It was founded in 1365 as the medical</span><span
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          role="presentation" dir="ltr"> faculty of the University of
          Vienna, and it has operated as an autonomous university since
          2004. Physicians at the Medical University treat</span><span
          style="left: 80.46px; top: 785.625px; font-size: 15px;
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          role="presentation" dir="ltr"> ~95,000 patients per year as
          inpatients and ~500,000 as outpatients, creating major
          opportunities for data-driven research. The Medical</span><span
          style="left: 80.46px; top: 804.42px; font-size: 15px;
          font-family: sans-serif; transform: scaleX(0.989852);"
          role="presentation" dir="ltr"> University has a dedicated
          Department for Medical Data Science, with research in
          statistics, medical informatics, complexity sciences, and
          other</span><span style="left: 80.46px; top: 823.02px;
          font-size: 15px; font-family: sans-serif; transform:
          scaleX(0.997113);" role="presentation" dir="ltr"> areas. In
          this department, the Institute of Artificial Intelligence (AI
          Institute) seeks to advance biomedical research and clinical
          practice through</span><span style="left: 80.46px; top:
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          methods development, applications, and teaching in machine
          learning and artificial intelligence. The AI Institute is
          directed by Christoph Bock</span><span style="left: 80.475px;
          top: 860.61px; font-size: 15px; font-family: sans-serif;"
          role="presentation" dir="ltr"> (</span></span><span
        class="markedContent" id="page53R_mcid12"><span style="left:
          86.475px; top: 860.61px; font-size: 15px; font-family:
          sans-serif; transform: scaleX(1.03275);" role="presentation"
          dir="ltr"><a class="moz-txt-link-freetext" href="https://tinyurl.com/chrbock">https://tinyurl.com/chrbock</a></span></span><span
        class="markedContent" id="page53R_mcid31"><span style="left:
          255.675px; top: 860.61px; font-size: 15px; font-family:
          sans-serif; transform: scaleX(1.02246);" role="presentation"
          dir="ltr">), who is Professor of Medical Informatics at the
          Medical University of Vienna and Principal Investigator at the</span></span><span
        class="markedContent" id="undefined"></span><span
        class="markedContent" id="page53R_mcid32"><span style="left:
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          dir="ltr"> CeMM Research Center for Molecular Medicine of the
          Austrian Academy of Sciences. He is a member of the Human Cell
          Atlas, Fellow of ELLIS,</span><span style="left: 80.4px; top:
          898.345px; font-size: 15px; font-family: sans-serif;
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          and recipient of important research awards (Otto Hahn Medal,
          ERC Starting Grant, ERC Consolidator Grant, Overton Prize,
          Erwin Schrödinger</span><span style="left: 80.4px; top:
          917.14px; font-size: 15px; font-family: sans-serif; transform:
          scaleX(0.996829);" role="presentation" dir="ltr"> Prize). The
          AI Institute currently hosts two additional group leaders and
          their research groups: Georg Dorffner (</span></span><span
        class="markedContent" id="page53R_mcid14"><span style="left:
          749.79px; top: 917.14px; font-size: 15px; font-family:
          sans-serif; transform: scaleX(1.04841);" role="presentation"
          dir="ltr"><a class="moz-txt-link-freetext" href="https://tinyurl.com/gdorffner">https://tinyurl.com/gdorffner</a></span></span><span
        class="markedContent" id="page53R_mcid33"><span style="left:
          929.985px; top: 917.14px; font-size: 15px; font-family:
          sans-serif; transform: scaleX(1.13314);" role="presentation"
          dir="ltr">),</span></span><span class="markedContent"
        id="undefined"></span><span class="markedContent"
        id="page53R_mcid34"><span style="left: 80.4px; top: 935.95px;
          font-size: 15px; font-family: sans-serif; transform:
          scaleX(0.99333);" role="presentation" dir="ltr"> who is the
          vice president of the Austrian Society for Artificial
          Intelligence, and Matthias Samwald (</span></span><span
        class="markedContent" id="page53R_mcid16"><span style="left:
          676.395px; top: 935.95px; font-size: 15px; font-family:
          sans-serif; transform: scaleX(1.04775);" role="presentation"
          dir="ltr"><a class="moz-txt-link-freetext" href="https://tinyurl.com/samwald">https://tinyurl.com/samwald</a></span></span><span
        class="markedContent" id="page53R_mcid35"><span style="left:
          853.2px; top: 935.95px; font-size: 15px; font-family:
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          dir="ltr">), who coordi</span></span><span
        class="markedContent" id="page53R_mcid36"><span style="left:
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          dir="ltr">nates a major EU project that implements
          computational methods in clinical practice. The Medical
          University of Vienna hosts a rapidly growing</span><span
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          font-family: sans-serif; transform: scaleX(1.0177);"
          role="presentation" dir="ltr"> cluster of machine learning
          researchers in areas spanning radiology, dermatology,
          bioinformatics, and synthetic biology. Many researchers at</span><span
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          role="presentation" dir="ltr"> the Medical University of
          Vienna have successfully applied for European Research Council
          (ERC) and other high-profile grants (e.g., the Austrian</span><span
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          font-family: sans-serif; transform: scaleX(1.00558);"
          role="presentation" dir="ltr"> Excellence Initiative), and
          extensive training and support is available in Vienna for
          researchers preparing such grant proposals.</span></span><span
        class="markedContent" id="page53R_mcid18"></span><span
        class="markedContent" id="page53R_mcid19"><br
          role="presentation">
        <span style="left: 80.4px; top: 1048.53px; font-size: 15px;
          font-family: sans-serif; transform: scaleX(1.00121);"
          role="presentation" dir="ltr"><br>
        </span></span></p>
    <p><span class="markedContent" id="page53R_mcid19"><span
          style="left: 80.4px; top: 1048.53px; font-size: 15px;
          font-family: sans-serif; transform: scaleX(1.00121);"
          role="presentation" dir="ltr">Please send your application by
          e-mail to</span></span><span class="markedContent"
        id="page53R_mcid20"><span style="left: 328.2px; top: 1048.53px;
          font-size: 15px; font-family: sans-serif;" role="presentation"
          dir="ltr"> </span><span style="left: 331.185px; top:
          1048.53px; font-size: 15px; font-family: sans-serif;
          transform: scaleX(1.01537);" role="presentation" dir="ltr"><a class="moz-txt-link-abbreviated" href="mailto:faculty-recruiting5@meduniwien.ac.at">faculty-recruiting5@meduniwien.ac.at</a></span></span><span
        class="markedContent" id="page53R_mcid37"><span style="left:
          566.985px; top: 1048.53px; font-size: 15px; font-family:
          sans-serif; transform: scaleX(0.986207);" role="presentation"
          dir="ltr">. The application should include: cover letter,
          curriculum vitae,</span></span><span class="markedContent"
        id="undefined"></span><span class="markedContent"
        id="page53R_mcid38"><span style="left: 80.4px; top: 1067.35px;
          font-size: 15px; font-family: sans-serif; transform:
          scaleX(1.02617);" role="presentation" dir="ltr"> list of
          publication, five key publications with download links and a
          brief statement about their relevance, summary of research and
          teaching</span><span style="left: 80.4px; top: 1086.15px;
          font-size: 15px; font-family: sans-serif; transform:
          scaleX(1.0313);" role="presentation" dir="ltr"> activities
          (~3-5 pages), concept of future research plans (~1-3 pages),
          and contact details of at least three references – if possible
          combined</span><span style="left: 80.43px; top: 1104.94px;
          font-size: 15px; font-family: sans-serif; transform:
          scaleX(1.02524);" role="presentation" dir="ltr"> into a single
          PDF document attached to the e-mail. Please see</span></span><span
        class="markedContent" id="page53R_mcid22"><span style="left:
          459.341px; top: 1104.94px; font-size: 15px; font-family:
          sans-serif;" role="presentation" dir="ltr"> </span><span
          style="left: 463.196px; top: 1104.94px; font-size: 15px;
          font-family: sans-serif; transform: scaleX(1.03906);"
          role="presentation" dir="ltr"><a class="moz-txt-link-freetext" href="https://tinyurl.com/4jvkmajh">https://tinyurl.com/4jvkmajh</a></span></span><span
        class="markedContent" id="page53R_mcid39"><span style="left:
          642px; top: 1104.94px; font-size: 15px; font-family:
          sans-serif;" role="presentation" dir="ltr"> </span><span
          style="left: 645.81px; top: 1104.94px; font-size: 15px;
          font-family: sans-serif; transform: scaleX(1.02266);"
          role="presentation" dir="ltr">for additional details.</span></span></p>
    <p><span class="markedContent" id="page53R_mcid39"><span
          style="left: 645.81px; top: 1104.94px; font-size: 15px;
          font-family: sans-serif; transform: scaleX(1.02266);"
          role="presentation" dir="ltr"></span></span><span
        class="markedContent" id="undefined"></span><span
        class="markedContent" id="page53R_mcid24"></span><span
        class="markedContent" id="page53R_mcid25"><br
          role="presentation">
        <span style="left: 80.4px; top: 1142.55px; font-size: 15px;
          font-family: sans-serif; transform: scaleX(1.00882);"
          role="presentation" dir="ltr">All applications received by 1
          October 2023 will be considered. Start dates are very
          flexible. Please address questions about the application to</span><span
          style="left: 80.4px; top: 1161.34px; font-size: 15px;
          font-family: sans-serif; transform: scaleX(0.970904);"
          role="presentation" dir="ltr"> Dalibor Mikic / Ana Mendes (</span></span><span
        class="markedContent" id="page53R_mcid26"><span style="left:
          257.19px; top: 1161.34px; font-size: 15px; font-family:
          sans-serif; transform: scaleX(1.02244);" role="presentation"
          dir="ltr"><a class="moz-txt-link-abbreviated" href="mailto:sec-ai@meduniwien.ac.at">sec-ai@meduniwien.ac.at</a></span></span><span
        class="markedContent" id="page53R_mcid27"><span style="left:
          415.395px; top: 1161.34px; font-size: 15px; font-family:
          sans-serif; transform: scaleX(0.9893);" role="presentation"
          dir="ltr">) and scientific questions to Christoph Bock (</span></span><span
        class="markedContent" id="page53R_mcid28"><span style="left:
          684.39px; top: 1161.34px; font-size: 15px; font-family:
          sans-serif; transform: scaleX(1.00346);" role="presentation"
          dir="ltr"><a class="moz-txt-link-abbreviated" href="mailto:christoph.bock@meduniwien.ac.at">christoph.bock@meduniwien.ac.at</a></span></span><span
        class="markedContent" id="page53R_mcid40"><span style="left:
          893.595px; top: 1161.34px; font-size: 15px; font-family:
          sans-serif; transform: scaleX(1.14514);" role="presentation"
          dir="ltr">).</span></span></p>
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