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-ever Immune Digital Twin – a personalizable computer replica of the immune system – to enable everyone and anyone to assess and optimize the health of their immune system and simulate and predict its
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cortex, analyze neuronal population data, and build generative or predictive models to simulate cortical responses. The position requires strong experimental engagement and a collaborative mindset within a
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for transportation prediction, system optimization, and environmental/health impact modeling Deployment of decision-support tools for public-sector clients (municipalities, MPOs, DOTs) Urban mobility, equity
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 1 hour ago
system. Climate models are important tools for improving our understanding and prediction of atmosphere, ocean, and climate behavior. We seek candidates with an interest in advancement of radiative
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self‑delivering superchaotropic covalent hybrids; (ii) performing systematic transport screening to identify key physicochemical parameters and build a cargo‑dependent predictive model for covalent
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. The work is part of the regional project “Optimizing Renewable Energy Integration: FPGA-Based Model Predictive Control (MPC) for Grid Stability” (Ref. SI4/PJI/2024-00238), funded by Comunidad de Madrid and
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creating a unified data framework for microbial carbon dioxide conversion and establishing a predictive AI modeling. Your profile The candidate is required to have a strong background in AI/machine learning
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, and process modelling. The position is available immediately, with a start date as soon as possible. Where to apply Website https://www.academictransfer.com/en/jobs/357300/postdoc-position-in-microbial
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Ramboll and Buro Happold who work across diverse projects with key clients focused
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. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine