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<p style="margin:0cm"><span style="color:#0E101A">We offer a postdoc</span><span lang="EN-US" style="color:#0E101A"> position</span><span style="color:#0E101A"> in the <strong><span style="font-family:"Calibri",sans-serif">scientific visualization group at
Linköping University (Sweden)</span></strong>, Campus Norrköping<o:p></o:p></span></p>
<p style="margin:0cm"><span style="color:#0E101A">https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=18265&rmlang=UK<o:p></o:p></span></p>
<p style="margin:0cm"><span style="color:#0E101A"> <o:p></o:p></span></p>
<p style="margin:0cm"><strong><span style="font-family:"Calibri",sans-serif;color:#0E101A">Research area</span></strong><span style="color:#0E101A"><o:p></o:p></span></p>
<p style="margin:0cm"><span style="color:#0E101A"> <strong><span style="font-family:"Calibri",sans-serif">Visual analysis of high-resolution spectral data from photon-counting detector computer tomography imaging (PCD-CT)</span></strong><o:p></o:p></span></p>
<p style="margin:0cm"><span style="color:#0E101A"> <o:p></o:p></span></p>
<p style="margin:0cm"><span style="color:#0E101A">The objective of this PostDoc is to develop methods for the analysis and visualization of data collected from a new Photon-Counting Detector Computer Tomograph (PCD-CT) at the Center for Medical Image Science
and Visualization (CMIV) at Linköping University. It offers new opportunities in imaging the coronary arteries and assessment of cardiac function. This technology is groundbreaking and currently limited to very few centers in the world. The larger context
of this project is to develop a pipeline for the generation of personalized heart models improving the treatment of cardiovascular diseases in the future.<o:p></o:p></span></p>
<p style="margin:0cm"><span style="color:#0E101A"> <o:p></o:p></span></p>
<p style="margin:0cm"><span style="color:#0E101A">You will be part of the team that develops methods to supports an efficient and effective analysis of the data for diagnosis and model building, integrated into a visual data browser with high-quality rendering.
Your part involves researching extensions to commonly used methods, like volume rendering or flow visualization, to this new kind of data.<o:p></o:p></span></p>
<p style="margin:0cm"><span style="color:#0E101A"><o:p> </o:p></span></p>
<p style="margin:0cm"><span style="color:#0E101A">This position is part of a joint collaboration between the two largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National
Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on
data-driven research, within fields essential for improving people´s lives, detecting and treating diseases, protecting biodiversity, and creating sustainability. The program will train the next generation of life scientists and create a strong computational
and data science base. The program aims to strengthen national collaborations between universities, bridge the research communities of life sciences and data sciences, and create partnerships with industry, healthcare, and other national and international
actors. Read more: <a href="https://www.scilifelab.se/data-driven" target="_blank"><span style="color:#4A6EE0">https://www.scilifelab.se/data-driven</span></a><o:p></o:p></span></p>
<p style="margin:0cm"><span style="color:#0E101A">Within the WASP-DDLS financed project “Huge Complex Diagnostic Imaging Data”, two postdocs will work jointly on a pipeline for the generation of personalized models from huge complex imaging data.<o:p></o:p></span></p>
<p style="margin:0cm"><span style="color:#0E101A"><o:p> </o:p></span></p>
<p style="margin:0cm"><span style="color:#0E101A">For additional information, please contact Ingrid Hotz (Ingrid.hotz@liu.se) , Search Committee Chair.<o:p></o:p></span></p>
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