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SciLifeLab’s areas of expertise, and a SciLifeLab Fellow in this field will further strengthen Uppsala’s position as a national and international hub for antibiotic development and translational innovations
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Metabolomics and Exposomics Platform within SciLifeLab. You will join a team with complementary expertise in analytical chemistry, mass spectrometry, metabolomics and data analysis. You will conllaborate with
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global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally
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candidate will join the Scientific Machine Learning group at TDB and SciLifeLab. The group develops theory, methods and software for data-driven science, with a current focus on uncertainty quantification
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Machine Learning group at TDB and SciLifeLab (Associate Professor Prashant Singh), which develops methods and software for simulation-based inference, generative models and robust machine learning, together
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
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Are you excited about research at the intersection of genomics and data science? We are looking for a researcher to join our team and contribute to advancing our understanding of genome evolution
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different professional and cultural backgrounds. The doctoral project aims to develop next generation minimally invasive sampling technologies for neuro biomarkers. The work includes developing the technical
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societal development by providing top quality education that is tightly linked to its internationally recognized research programs. Research at the Department of Molecular Biosciences, The Wenner-Gren
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SciLifeLab’s unit Display and Selection Technologies which is part of the national research platform SciLifeLab Drug Discovery and Development . Its role, on a national level, is to focus on antibody