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mechanics, fluid mechanics, materials technology, manufacturing engineering, engineering design and thermal energy systems. Technology for people DTU develops technology for people. With our international
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crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive
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molecular mechanisms of autophagy initiation and membrane dynamics by combining in vitro reconstitution, structure-function studies, biochemistry and cell biological approaches. We are seeking a highly
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Supervisors: Prof Manish Tiwari Prof Shervanthi Homer-Vanniasinkam Clinical Partner: The Royal National Orthopaedic Hospital (RNOH) Collaborator: Dr. Priya Mandal – UCL Mechanical Engineering
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a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration
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, nanotechnology, applied physics, or mechanical engineering, with excellent theoretical and experimental skills, and preferably with experience in mechanical design, finite element modelling, and cleanroom
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The project: Delivering reliable and economically viable fusion power depends on the ability to design and build reactor systems that operate safely under extreme thermal and mechanical conditions
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talented candidate with a Master’s degree in civil engineering, mechanical engineering, or a related discipline Solid background in mechanics of materials and finite element analysis Sound knowledge
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inform mathematical models linking material mechanics to biological responses, enabling the sustainable design of next-generation regenerative materials. This interdisciplinary project combines mechanical
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approach: integrating mechanical and enzymatic antibiofilm mechanisms into medical-grade polymers to create next-generation single-use medical consumables with built-in, robust antibiofilm properties. By