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Field
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Source and conduct new experiments at these facilities. Collaborate with AI/ML researchers to incorporate forward models into inverse modeling, uncertainty quantification, autonomous analysis, and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
, how it can be extracted, and how confidently conclusions can be drawn. Develop and apply approaches for uncertainty quantification, robust inference, and validation of biomedical imaging results. Work
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designed to stimulate scientific and technological employment in all areas of knowledge Decree-Law 57/2016, of August 29 and complementary legislation, in its current wording https://dre.pt/dre/detalhe
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methods & uncertainty quantification LLMs & multi-modal models Graph neural networks (GNNs) Reinforcement learning Edge AI & model optimisation Trustworthy AI (explainability, auditability, privacy
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expertise required to move ideas from concept to manufacturing. A full job description can be found here: https://mitnano.mit.edu/opportunities/mitnano-job-opportunity-program-engineer-metrology
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and our Department is available at https://www.essec.edu/en/pages/departement-information-systems-data-analytics-operations/ ESSEC BUSINESS SCHOOL holds the HR Excellence in Research award. As part of
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, while COPERNIC focuses on resilient autonomous navigation, integrating perception, planning, and control under uncertainty. Finally, the MOVE team adds a physiological dimension with research on medical
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
will establish a Virtual Ocean Lab (VOL), a digital platform for hybrid physics-AI biogeochemical (BGC) modelling in the Northwest Atlantic. The work addresses persistent bias and parameter uncertainty
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quantifying control gains in full-scale experiments, given atmospheric uncertainty, and the lack of an uncontrolled baseline available for the exact same conditions. Candidates have a master degree in one
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that generalize across landscapes, sensors, and environmental conditions, and evaluate uncertainty in AI predictions for ecological inference. • Collaborate closely with ecologists, statisticians, federal