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, including a track record of contributions in decision-making under uncertainty robotic exploration and mission planning under epistemic uncertainty. You will have knowledge or experience in modelling and
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, such as multi-objective optimization, model predictive control, mixed-integer optimization, stochastic optimization, energy management, or production scheduling. Good knowledge of integrated energy
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 10 days ago
Earth observation foundation models, the participant will enhance their educational background in large-scale vegetation and wildfire modeling while gaining knowledge directly related to the agency's
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! And more: https://www.bowdoin.edu/hr/benefits-perks/index.html Education/Skills Requirements Doctoral Degree required Working knowledge of all aspects of planning and deploying an AI project, including
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models, convective theories and the analysis of observations - Good knowledge of the state of the art in cloud feedbacks and cloud-climate interactions - Skills in the writing of scientific articles and in
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participates in the “Objectif Employeur Pro-Vélo” program. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9002-CHABOU-009/Default.aspx Requirements Research FieldBiological sciencesEducation
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circuits, antenna engineering, electromagnetic modelling, additive manufacturing, materials characterisation and experimental validation. The appointee will work closely with the Chief Investigator (CI
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
-dimensional datasets. Knowledge of experimental design, statistical analysis, model validation, and reproducible computational research practices. Evidence of scholarly productivity through peer-reviewed