<div dir="ltr"><div dir="ltr"><span id="gmail-docs-internal-guid-71201149-7fff-06ca-ee44-1d9a7dcf00fe"><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Applications are invited for 2 PhD positions at the Division of Scientific Computing, Department of Information Technology, Uppsala University. </span></p><br><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">The positions relate to the general research theme of developing machine learning methods for efficient and scalable analysis of scientific experiments. We at the Integrative Scalable Computing Laboratory (ISCL) are also part of the Science for Life Laboratory (SciLifeLab) network and offer a rich and highly interdisciplinary research environment. Please find detailed information about the positions at the following links:</span></p><br><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Position 1:</span><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"> 1 PhD student in Scientific Computing focusing on Statistical Sampling/Active Learning for Large-Scale Scientific Experiments</span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><a href="https://uu.se/en/about-uu/join-us/details/?positionId=481386" style="text-decoration-line:none"><span style="font-family:Arial;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;text-decoration-line:underline;vertical-align:baseline;white-space:pre-wrap">https://uu.se/en/about-uu/join-us/details/?positionId=481386</span></a></p><br><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Position 2:</span><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"> 1 PhD student in Scientific Computing focusing on Machine Learning for Scalable Parameter Inference</span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><a href="https://uu.se/en/about-uu/join-us/details/?positionId=481369" style="text-decoration-line:none"><span style="font-family:Arial;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;text-decoration-line:underline;vertical-align:baseline;white-space:pre-wrap">https://uu.se/en/about-uu/join-us/details/?positionId=481369</span></a></p><br><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Starting date: Negotiable</span></p><br><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Deadline: 30 March 2022</span></p><br><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">We look forward to receiving your applications via our online recruitment system (Varbi).</span></p><br></span></div></div>