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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 14-Jun-25 Location: Minneapolis, Minnesota Categories: Research Support - Laboratory/Non-Laboratory Staff/Administrative Internal Number: 368707 This position is for a 12-month appointment. Research...
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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, Physics, Geosciences or a closely related field Experience with mathematical inverse methods, global geo-/paleomagnetic field modelling expertise is an advantage Knowledge of geomagnetic field evolution
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interactive multinational and multidisciplinary teamcovering expertise in molecular biology, cell biology, neuroscience, regeneration biology, mathematical modelling, and robotics. The fundamental questions
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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/GNC systems has traditionally relied on model-based techniques, which in turn, have their foundations in a solid body of mathematical proofs (such as guarantees of stability and robustness
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& neuroscience, computer science and applied mathematics and statistics. This research program strongly benefits from Johns Hopkins massive AI initiative, including the creation the "Data Science and AI Institute
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Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global...
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, you must hold a PhD (awarded no more than three years prior to the application deadline*) in computer science, maritime transportation, or a related field, with a strong foundation in mathematics and
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine