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October 2026 or as otherwise agreed. Placement: Uppsala. For further information about the position, please contact: Assistant Professor Sara Hamis, e-mail: [email protected]. Please submit your
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conformational transitions induced by ligand binding, cofactors, metabolites, stress, or post-translational modifications. While recent deep-learning methods such as AlphaFold have transformed protein structure
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a part of the selection process. We ask all candidates to upload a CV, diplomas, course transcripts and to enter the names and e-mail addresses of at least two references. You are welcome to submit
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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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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intersection of machine learning and life sciences, developing next-generation models that improve our understanding of human biology and enable more proactive, personalized healthcare. As an Industrial PhD
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temporary, 10 months, with placement at the Institute of Biomedicine. First day of employment as agreed. Contact information for the post If you have any questions about the position, please contact Dr. Joan
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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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multi-omics integration with advanced machine learning, including artificial neural networks, to predict disease-relevant splice variants across cardiometabolic diseases. By leveraging extensive meta