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. Are you interested in tackling these challenges with cutting-edge AI sensing techniques? At the AISensing team we focus on AI-powered sensing technology, spanning large-scale AI models, simulation of next
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Assistant to support applied research at the intersection of healthcare, artificial intelligence, and data analysis The primary focus of this role will be large language model (LLMs) and other machine
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interests, the project may take a more theoretical direction (e.g., focusing on continuous-time modeling, semiparametric theory and efficiency) or a more applied and computational direction (e.g., focusing
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-informed models simulating system behaviour and providing decision-relevant insights Translating methods into decision-support prototypes and case studies in collaboration with academic and industrial
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Description Mission: Perform the characterization and simulation of CO2 capture and reuse processes. Functions to be developed: Characterize, simulate and model processes for capturing, purifying and reusing
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the Heat and Fire Lab (https://heatandfire.github.io/ ) in the Department of Engineering at King’s College London. About the role We are looking to appoint a full-time (1.0 FTE) Research Associate to work
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disease progression, care transitions, and quality of life. You will develop and refine a health-economic R-based simulation model, integrating surrogate outcomes from psychosocial and technology-based
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, and procedures related to campus safety. Go here to review: https://safety.temple.edu/reports-logs/annual-security-report You may request a copy of the report by calling Temple University’s Campus
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 20 days ago
of soil samples at controlled temperatures and water contents in order to establish petrophysical relationships, - Integrate the observations acquired into a plant hydraulics model (SUREAU) to simulate
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and the supporting evidence of eligibility for point 7 should be sent exclusively via the following weblink: https://posao.pmf.hr/opening-login?openingUUID=e5bf9166-6cf3-4b35-83e8-d95ad1522c45 Where