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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed
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associated with more reliable structure discovery. The project adopts a unified and assumption-aware perspective on evaluation, emphasizing robustness analysis, sensitivity to modeling choices, and
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particular, the successful candidate will be involved in the ESA ARRAKIHS satellite mission with the main goal of understanding the impact of dark matter models and baryonic processes in faint substructures
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welcome from all areas of operations research, including but not limited to optimization, mathematical programming, analytics, data-driven decision-making, stochastic modelling, and systems analysis. We
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/resources/industrial-iot-lab ) and residential environments (https://idlab.ugent.be/resources/homelab ). Experimental validation can be backed by modelling or theoretical assessments. You collaborate with
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-SEM, TOF-SIMS, Raman spectroscopy, and optical topometry. To support you, you will have access to a team of experts, including expertise in molecular dynamics modelling. Qualifications To be eligible
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over the parameter space) without specifying a model nor a prior. Such methods can in principle be applied to machine learning algorithms in order to get uncertainty estimates for parameters governing
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, or related fields Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Fluent oral and written communication skills in English Desired
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functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellowship in Volcano Climate Modelling Apply
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Social Science; mainly thesis supervision. Where to apply Website https://www.academictransfer.com/en/jobs/358373/postdoc-interdisciplinary-socia… Requirements Specific Requirements We believe in a balance