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subjects are valued: optimisation, probabilistic machine learning, linear algebra and deep learning. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in
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trials, cutting edge genomics, machine learning and artificial intelligence. The doctoral student project and the duties of the doctoral student At the Department of Medical Epidemiology and Biostatistics
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interdisciplinary science, including bioinformatics, systems biology, machine learning, or biostatistics, with a focus on practical applications and problem-solving. We attach great importance to personal qualities
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environment, and, preferably, previous experience in working with machine learning and/or artificial intelligence. Good presentation and communication skills in oral and written English are also required
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environment, and, preferably, previous experience in working with machine learning and/or artificial intelligence. Good presentation and communication skills in oral and written English are also required
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strong focus on developing machine learning tools and novel molecular representations. Fundamental knowledge of machine learning and programming as well as molecular biology is necessary. The tools
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analysis based on machine learning and deep learning/AI. You will work with shorter and longer projects and offer research support via the BIIF nodes in Uppsala and Stockholm, and other universities in
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, mathematical modeling of dynamical systems, and machine learning is advantageous. Priority will be given to candidates with the overall highest experience in these fields, however prior experience with all
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of machine learning in drug discovery. We are working in projects together with researchers from the DDD and Academia and other research organisations. Required qualifications A PhD in computational
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of machine learning in drug discovery. We are working in projects together with researchers from the DDD and Academia and other research organisations. Required qualifications A PhD in computational