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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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is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university
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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