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4 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique de la matière condensée Research Field Physics Chemistry » Computational chemistry Researcher Profile First
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An exciting opportunity has arisen to join the Centre for Social Care and Artificial intelligence Learning (SCALE) and School of Computer Science and Informatics. SCALE is funded by Health and Care
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to the viscoelastic behavior of polymeric foams under large deformations dynamic loadings. The objective is to simulate, using the finite element method, the response of these porous microstructures under complex
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recognized academic health system. The role will involve leading and advancing a comprehensive Pediatric Urology program, including management of a diverse and complex patient population drawn from a large
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 17 days ago
intelligence through neural circuit modeling. The candidate will collaborate with researchers studying memory circuits through physiological experiments and large-scale brain datasets. The position offers
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discoveries. This position is funded by Research Ireland and is available from June 2026 to February 2028. Salary: Postdoctoral Researcher salary/Research Associate scale €46,805 - €59,654 per annum, (subject
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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, there is a trade-off in the allocation of metabolic reserves between growth and reproduction. The black soldier fly (BSF) is a farmed insect produced on a large scale, constituting a high-quality feedstuff
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links are widely assumed, quantitative evidence across spatial scales remains limited. Advancing soil and water protection therefore requires improved understanding of how farming systems, land management
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decision support Analysis of large-scale geospatial, sensor, and remote sensing datasets (e.g., multispectral, hyperspectral, LiDAR) Predictive modeling for crop performance, resource efficiency, and climate