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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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computational methods with a particular focus on deep learning and image analysis. The project relies on a close collaboration with researchers at the Department of Immunology, Genetics and Pathology (IGP
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models for biological data Work with multimodal and longitudinal health datasets Explore self-supervised and representation learning approaches Collaborate with domain experts in biology, medicine, and
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modeling of protein dynamics We are seeking a highly motivated PhD student to join a DDLS-funded project at the interface of structural proteomics, protein biophysics, and machine learning. The position is
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Are you interested in developing mathematically grounded methods for uncertainty quantification in deep learning, particularly for large language models in healthcare applications? Are you looking
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Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through
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PhD project which is a collaboration between the Karolinska Institute, SciLifeLab and Ribocure Pharmaceuticals AB. The PhD student will be employed by Ribocure Pharmaceuticals AB but admitted to PhD
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English. In the evaluation of candidates, particular emphasis will be placed on personal qualities such as independence, strong motivation, and good collaborative skills. Qualifications desired Previous