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Field
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We are looking for a researcher, whose expertise lies in computational fluid mechanics and finite element methods, to work with Matthew Hubbard and Reuben O’Dea on a Wellcome Trust funded project
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funding Support research data management and documentation Job Requirements: PhD degree in Mechanical/Electrical Engineering or related field At least 1 years of relevant experience in scientific research
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physics, mechanical engineering, materials science and engineering, chemical engineering, computational science, or a closely related field. A strong background in one or more of the following areas: graph
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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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digital twins at scale. The doctoral candidate will create computational approaches capable of estimating anatomical, mechanical and electrophysiological parameters from large imaging datasets while
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We invite excellent candidates in classical machine learning to join a collaborative research initiative between the MathEXLab of NUS (Mechanical Engineering) and the Centre for Quantum Technologies
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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- COMPETE2030-FEDER-00728700, funded by the Foundation for Science and Technology | FCT, through the Innovation and Digital Transition Program | Compete 2030, Competition for R&D Projects in All Scientific
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, electrical engineering or biomedical engineering. Other degrees can also be considered given that the candidate has formal competence in computing. Matlab/Phython programming Gitlab/Hithub or another relevant
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scientific exchange with collaboration partners of the project Preparing reports, scientific papers, and presentations Job Requirements: PhD in mechanical engineering, physics, or a related field Research