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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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constellation of SciLifeLab researchers and infrastructure units. This position is embedded in Avlant Nilsson’s research group at Karolinska Institutet and SciLifeLab. Our lab develops deep learning models
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student will use and develop both computational and laboratory-based tools. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and
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and further develop its research and education in this area. The department has purpose-built infrastructure for advanced metabolic studies in mouse and rat models. The successful candidate is expected
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further develop its research and education in this field. The successful candidate is expected to lead a research group in molecular microbiology and establish internationally competitive experimental
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and a workplace that promotes learning and development for all employees. Our team is an international and dynamic hub with great young talents from any levels and with different skill backgrounds
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technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good