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development. Perform Computational Fluid Dynamics (CFD) and system-level multiphysics simulations to support the analysis and optimization of advanced thermal and renewable energy systems. Collaborate with
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on: https://www.dges.gov.pt/pt/pagina/reconhecimento Workplan and the objectives to achieve: The workplan proposed comprises two topics, each to be tackled by each studentship offered: Topic 1 - Automatic
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Develop numerical models capable of reproducing laboratory experiments
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Cranfield, Bedford Website http://www.cranfield.ac.uk/ Street HR and Development Postal Code MK43 0AL STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo
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support for process development from laboratory to pilot to demonstration scale Working with a wide range of simulation tools such as CFD, numerial optimisation and artificial intelligence Topic-independent
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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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for the activity to be developed, candidates must have skills and previous experience in computational fluid dynamics (CFD) tools, particularly in the simulation of multiphase flows in mesoscale reactors, preferably
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learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Where to apply Website https://www.timeshighereducation.com/unijobs/listing
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simulation of fluid-structure interaction (FSI) with focus on the fluid mechanics. We couple computational fluid dynamics (CFD) to a structural solver and/or a controller for the detailed simulation of a
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in developing a continuous extraction process demonstrator to obtain extracts from microalgae biomass using pulse electric fields. The overall objective will be to propose an innovative method