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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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, and machine learning methods, choosing the approach that best fits the scientific question. Investigate systematically what information is contained in imaging data, how it can be extracted, and how
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interpretable artificial intelligence (preferred). You have experience with coding in Python using deep learning toolkits (e.g., PyTorch). You have good analytical and problem-solving abilities. You are
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experience with coding in Python using deep learning toolkits (e.g., PyTorch). You have good analytical and problem-solving abilities. You are proficient in English (written and spoken). What we offer We offer
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, as well as doctoral programmes and several Master’s programmes. Open to students in initial education as well as to professionals through lifelong learning, these programmes are delivered by our three
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sciences. Prior machine learning or Python experience is a strong bonus, but not a must. We seek colleagues who enjoy coding, scripting and analytics, and are keen to push the boundaries of data-driven
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coding in Python using deep learning toolkits (e.g., PyTorch). You have good analytical and problem-solving abilities. You are proficient in English (written and spoken). What we offer We offer a doctoral
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systems training requirements. Ability to work independently and as part of a team. Analytical skills and the ability to resolve technical or research problems and issues and to interpret the acceptability
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care and clinical nutrition? Are you motivated to advance diagnostic approaches for accurately estimating individual metabolic demands in critically ill patients using innovative analytical methods? We
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learning. You have experience with coding in Python using deep learning toolkits (e.g., PyTorch). You have good analytical and problem-solving abilities. You are proficient in English (written and spoken