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crosslink highly diverse bioeconomic production systems and to control them in a knowledge-based, adaptive and largely automated manner. We conduct research in dialogue with society, policymakers, industry
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on the W7 conceptual model. The position is based in Marseille, on the CNRS campus, in the US building, where the MAP laboratory (UPR 2002) is located. The researcher will join the INFRATECH GRAPHIA project
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starting rank will be commensurate with experience and based on the University of California pay scales. The position will remain open until filled. School of Social Sciences: https://socialsciences.ucsd.edu
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teach undergraduate courses such as: GEOG 141: GIS I: Data Display and Manipulation GEOG 142: GIS II: Data Creation and Project Implementation GEOG 143: GIS III: Spatial Analysis and Modeling or other
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, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences in electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials
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means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community- eligible for opportunities through the New Haven Hiring Initiative or a newcomer, interested
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- Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Extra Help Assistant will help develop socio-computational models to advance our understanding of cyber campaigns
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adaptation options. Studies based on hydrological models developed by ICHARM are currently underway to address these needs. In addition, requests for the application of ICHARM’s hydrological models and related
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UnitedKingdomTime) Description: Apply Description Call for Applications to: 2026 Telluride Neuromorphic AI Workshop Telluride, Colorado, June 25 –July 15, 2026, https://tellurideneuromorphic.org We are now accepting
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to test and compare strategies safely, calibrate models with real data, and support scenario-based decision-making. • Building data-driven models (e.g., forecasting, clustering/segmentation, learning-based