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School of Electrical Engineering and Computer Science at KTH Project description Third-cycle subject: Electrical Engineering The department of Decision and Control Systems (DCS) is currently seeking
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commitment, make Uppsala University one of Sweden’s most exciting workplaces. Read more about our benefits and what it is like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The position may
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exploring during your PhD. Your workplace You will be employed in the research group led by Associate Professor Wen Zhong , fellow in the Swedish national program for Data-Driven Life Science (DDLS
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of pancreatic cancer. This group is led by Associate Senior Lecturer Dr. Qiaoli Wang, as part of the SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS) . Group members are enrolled in
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of biochemistry and biophysics, at Stockholm university. For more information about us, please visit: www.dbb.su.se . Main responsibilities The SciLifeLab and Wallenberg National Program for Data-Driven Life
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and biophysics, at Stockholm university. For more information about us, please visit: www.dbb.su.se . Main responsibilities At the SciLifeLab and Wallenberg National Program for Data-Driven Life Science
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study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The Department of Microbiology, Tumor and Cell Biology (MTC) at Karolinska Institutet conducts
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www.medtech4health.se/aida . AIDA Data Hub, a branch of AIDA, is a national e-infrastructure for research and innovation in data-driven precision health. We provide secure computing and storage resources, data and data
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. On the computational side, the project includes calculation of established and novel structural parameters that can be linked to the experimental data. The candidate is expected to be able to interpret and present
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description Quantitative analysis of lipid nanoparticles (LNPs) using Cryo EM is challenging due to heterogenous samples, lack of training data and sample variability. In this project we aim to develop AI/ML...