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Field
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expected to develop and pursue your own scientific ideas and concepts. We provide structured supervision, active mentoring, and full support for high-quality scientific publishing. Our work is regularly
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an interdisciplinary undertaking, involving biochemistry/structural biology, molecular and organismal genetics, biophysics, biostatistics, bioinformatics, and theoretical physics. Recently, AI (AlphaFold, computer
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requirements, is provided below and in the links. Project descriptions Project 1: Predictive Bayesian inference and foundation models Employment: University of Oslo, Department of Mathematics PhD programme
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, starting date, and project-specific qualification requirements, is provided below and in the links. Project descriptions Project 1: Predictive Bayesian inference and foundation models Employment: University
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. Essential Functions/Responsibilities Expertise in all areas of machine learning including deep learning, Bayesian statistics, probabilistic modeling, optimization, learning theory, high dimensional data
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duration space weathering processes, such as solar wind irradiation, of materials commonly used for space craft structural and instrumental components. Results will be used to evaluate the risk of failure
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guiding materials measurement experiments to acclerate learning the synthesis-process-structure-property relationship. Machine learning methods include, but are not limited to, Bayesian inference
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dramatic internal structural changes), to budding, to fusion with a target cell, and then through more transformations as the viral genome passages into the cell’s cytoplasm, all while hijacking the host
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characterization tools for closed loop experiment design, execution, and analysis, where experiment design is guided by active learning, Bayesian optimization, and similar methods. A key challenge is the integration