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Field
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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on causal and mechanistic studies of microbiome-mediated pathogenesis. This is achieved by bridging microbiology and big data analytics in a structured doctoral training environment. The need of microbiome
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within the High-tech Business & Entrepreneurship (HBE) department of the Faculty of Behavioural, Management and Social Sciences. This PhD position is part of ADD-reAM, a large multidisciplinary project
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allocation mechanisms, with a particular focus on the efficiency and fairness of Eurotransplant’s liver allocation system. Information We are looking for a strong, motivated PhD-student with an analytical
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to incorporate additional field data. This PhD project offers a great opportunity to work with large-scale biodiversity and climate datasets, develop strong analytical skills, and collaborate with international
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comprehensive databases combining nationwide Norwegian health and socioeconomic registry data, biobanks and patient-reported data. Using advanced epidemiological methods, causal inference and machine learning
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research activities. For information about the Department of Physics, see: www.fysik.su.se/english . Project description Subject: Theoretical Physics We invite applications for a PhD position in the theory
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: • Image processing and sensor data analysis, ideally with HSI or other imaging technologies. • Machine learning and artificial intelligence, especially classification and segmentation tasks. • High
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: electronic structure calculations (plane wave DFT if possible), statistical thermodynamics, molecular dynamics. Skills in Python, bash scripting, Fortran 90 and machine-learning would be appreciated. The PIIM