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19 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique subatomique et des technologies associées Research Field Chemistry Chemistry » Computational chemistry
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19 Mar 2026 Job Information Organisation/Company Macao Polytechnic University Research Field Computer science Arts Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
profiling (BGC-Argo) floats (https://www.nature.com/articles/s41586-021-03805-8). The NASA Ocean Biogeochemical Model (NOBM) has recently been coupled to the Subseasonal to Seasonal Prediction Version 3 (S2S
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epidemiology using mathematical, computational, and statistical modeling. We are seeking researchers who are passionate about understanding the mechanisms driving epidemic spread, designing mathematical models
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programme, and hosted by the BIOPOLIS Association. The project is coordinated by Principal Investigator Clara Grilo and focuses on compiling and modelling terrestrial vertebrate mortality data resulting from
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We are looking for a highly motivated and dynamic postdoc for the Department of Immunology and Microbiology (ISIM) to work at Copenhagen Hepatitis C Program (CO-HEP) to commence May 1, 2026, and
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economy-wide modelling. Assess the distributional impacts of network investment using macroeconomic models such as Input Output and Computable General Equilibrium. There is a unique the opportunity to gain
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on the development of mathematical and computational models of biological systems. This position is supported by an NIH Virtual Consortium for Translational/Transdisciplinary Environmental Research (ViCTER) grant, “In
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role model in secure trustworthy AI by pioneering cyber resilience across the AI lifecycle. The research program focuses on four key themes: Trustworthy and Verifiable AI, Runtime Security Assurance