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the national Data-Driven Life Science (DDLS) program. About the position and the project As an industrial PhD student, you will be employed by the startup company PredictMe AB while being formally enrolled as a
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research combining computational biology with experimental validation. Selection The selection among eligible candidates will be based on their ability to successfully complete the PhD studies. Key criteria
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version control with Git, typesetting with LaTeX, use of Linux computers; Experience with convolution and transformer based neural networks for image analysis. Rules governing PhD students are set out in
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-driven analysis. The PhD student will be part of the DDLS Research School, a national program offering courses, workshops, and networking across Sweden. The project is conducted in collaboration with KTH
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the time the applicant is admitted to the PhD program at the Department of Biochemistry and Biophysics. You meet general entry requirements if you have completed a second-cycle degree, or completed courses
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Research School will be expanded with the recruitment of 25 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of
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, the DDLS Research School will be expanded through the recruitment of 25 academic and 7 industrial PhD students. Over the course of the DDLS program, more than 260 PhD students and 200 postdoctoral
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will be affiliated with the national DDLS program, through which you will have access to computing resources, the national DDLS research school, and other training and networking opportunities throughout
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2026 the DDLS Research School will be expanded with the recruitment of 25 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be
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epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life science (DDLS) uses data, computational methods, and