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collaborators. Your work will develop algorithms, inference methods, and frameworks to adapt models from training data to test environments, which is necessary to resolve distribution shifts, hidden confounders
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person will focus on either using and/or developing Vlasiator. Prior knowledge in at least one of the following areas is required: GPU technologies, high-performance computing, parallelisation algorithms
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developing computational algorithms and theory grounded in notions of information geometry and Riemannian geometry to enhance Bayesian statistical inference and machine-learning related methods. We are part of
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teaching merits and, if necessary, a teaching demonstration. Additional evaluation criteria for this position are: Experience in some area of computer science represented at the department (algorithms
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their repertoire. If they encounter text written in a language they have not seen before, they label it with what their algorithm deems the closest match. The results of such behavior can vary from the indicated
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, AI, and other algorithmic techniques in qualitative social scientific research. In line with the interdisciplinary and reflexive ethos of DIVSOL, attention to the societal implications of AI is an
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of Physics and Astronomy. AIPAD tackles the above questions by developing two innovative AI algorithms: The first algorithm will infer full SEP pitch-angle distributions (PADs) for spacecraft measurements
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concerned with optimal transport for inverse problems. Optimal transport for inverse problems One of the central topics of the research projects is the further development of theory and methods
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of computer science represented at the department (algorithms, networks, software engineering, AI, data science) Experience of working in highly interdisciplinary environments Experience in designing
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teaching merits and, if necessary, a teaching demonstration. Additional evaluation criteria for this position are: Experience in some area of computer science represented at the department (algorithms