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)) models are used at all stages of pre-clinical and clinical development, but they are based on mathematical and statistical principles dating from the 1970s. Developing these pharmacometric models remains a
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mathematical and statistical techniques. The project is situated in the context of efficient online learning, with a focus on scaling with model complexity and function approximation. Hold a master's degree in
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WE02 - Department of Applied Mathematics, Computer Science and Statistics Contract Limited duration Degree Master of Statistics (with a strong component on mathematical statistics), Master of Mathematics
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, Computer Science, Applied Mathematics and Statistics, or a closely related field. Programming proficiency in at least one scientific language, preferably Python or Julia. Strong background in operational research
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, mathematics and statistics, physics, we would like to hear from you. If your first language is not English, or you require a Student Visa to study, you will be required to provide evidence of your
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or in a related quantitative field (e.g. Mathematics, Physics, Statistics), with documented experience in analysing, interpreting bulk and single-cell sequencing datasets. Prior experience with data
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they are based on mathematical and statistical principles dating from the 1970s. Developing these pharmacometric models remains a laborious task where highly qualified staff spend large amounts of time. Aims
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6 May 2024 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Mathematics and Statistics Research Field Mathematics Mathematics » Statistics
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Master’s degree in Computer Science, Mathematics, Physics, Statistics, Artificial Intelligence, Machine learning or another relevant field. You have a strong background in machine learning and deep learning
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interdisciplinary and combines mathematics and statistics with applications in medicine. A substantial part of the research will therefore be done in close collaboration with infection control practitioners