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cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home The Professional Work Experience Team (PWE) is seeking a proactive and detail-oriented Academic Placement
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. The candidate will pursue research in machine learning, numerical optimisation, and process systems engineering, and collaborate with academics from the Department, the Sargent Centre, and industrial
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Fellow to work on the catalysis for CO2 related
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microfluidic devices used as proxies for the vaginal microbiome. The project will involve first principles mathematical modelling, analytical and/or numerical solution of simplified PDEs for flow physics and
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objects Our Offer A position in an innovative and internationally active environment crucial to succes Numerous voluntary social benefits Flex time arrangement Opportunity to work independently and develop
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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning
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the FaSiRé project who will be working on geomorphological and seismotectonic analysis, as well as numerical modelling of the conditions of megalith and PBR falls. There will be numerous collaborations and
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 21 days ago
walls; iii) Experimental and/or numerical characterisation of the mechanical and seismic behaviour of the proposed connection solutions; iv) Development and calibration of numerical models representative
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Specially Appointed Assistant Professor who will promote research and education in their field of expertise and publish numerous co-authored papers through collaborative research with faculty members in
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(CHaRMNET) , housed at Michigan State University , seeks to hire a postdoctoral research associate in the broad area of computational physics (https://charmnet-mmicc.github.io ). The mission of CHaRMNET is