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conducted with Italian partners in Rome (Sapienza University, Catholic University of Rome, Gemelli Institute). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7252-VINCOU-006/Default.aspx
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on the following link: https://www.postgraduate.study.cam.ac.uk/ Funding- Full 3-year funding covering maintenance fees at £21,805 per annum and the University Composition Fee as well as Research Training Support
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Associate Studies (MPAS) at Swansea University Medical School (https://www.swansea.ac.uk/postgraduate/taught/medicine/physician-associate-studies-mpas/ ). As a lecturer on the MPAS programme you will be
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flows in industrial bioreactors. It aims to use new experimental techniques as well as advanced numerical approaches to improve CFD simulation tools and their application for the scale-up of bioreactors
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tools Computer science » Programming Engineering » Biomedical engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Application Deadline 30 Apr 2026 - 21:59 (UTC
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 14 days ago
manufacturing and structural analysis by simulation in the testing pyramid for certification of aeronautical structures, increasing the reliance on digital technologies (data or simulation driven) to ensure
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 8 hours ago
from the surface or the coast into the interior ocean Test Lagrangian tools and contribute to their development Conduct model simulations covering the recent decades and the future Present project
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experience teaching with simulation modalities.Demonstrated proficiency in design and delivery of teaching technologies (e.g., Web-based learning platforms, synchronous Internet meeting programs, email
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a full list of courses and descriptions: https://catalog.foothill.edu/degrees-certificates/veterinary-technology . The program emphasizes low stress handling and fear-free methods in all animals
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field measurements and computationally intensive simulations, limiting their scalability and responsiveness for risk-informed decision-making across large offshore wind farms. This project will develop