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Uppsala University, Department of Information Technology Are you interested in probability theory, statistics, and mathematical modelling? Would you like to develop new methods for uncertainty
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position: Experience of modelling energy systems, particularly at the national level. Experience of optimisation modelling and/or other mathematical models. Experience in scenario analysis, related
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computer science, image analysis and machine learning, engineering physics, data science, applied mathematics, molecular biotechnology engineering, or another related field; or Have completed at least 240
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Mathematics (Fraunhofer-Chalmers Centre, FCC) Employment: according to agreement Location: Gothenburg, Sweden Department: Systems and Data Analysis (in close collaboration with Chalmers) Application procedure
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meritorious if you provide transcripts with documented coursework in algorithms, theory of computing, quantum computing, and discrete mathematics. provide published work on the design or analysis of modes
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analysis to mathematical logic. Project description We especially seek to recruit PhD students for the following projects: Group theory, arithmetic geometry and representation theory (supervised by Wushi
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and written. Good knowledge of data analysis and statistics, including experience working with large datasets. The ability, under supervision, to structure, process and analyse research data and to
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modelling of flow and transport, analysis of uncertainties in model predictions, and development of efficient methods for evaluating their implications for geological repository safety. The methods will be
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Are you interested in developing mathematically grounded methods for uncertainty quantification in deep learning, particularly for large language models in healthcare applications? Are you looking
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statistical model calibration, machine learning and data analysis. The research environment is international and interdisciplinary, with close links between fundamental method development and technically