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at School of Health Sciences, Highfield Campus, working with other research fellows in the programme. The successful candidate may be given the opportunity to join the NIHR Academy and access further training
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the lab and have the opportunity to mentor PhD students in their research. If you have a PHD in physics, electrical engineering, computer science and experience and/ or strong interest in image
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completion) in Chemical Engineering, Mechanical Engineering, Physics, Computer Science, or a related discipline. Demonstrated experience in developing multi-physics models for electrochemical processes and
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integrity. Applicants must have a PhD (or equivalent experience) in a relevant discipline and have experience of static and dynamic FE methods preferably using ABAQUS, and experience in modelling fracture
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Application Deadline 23 Nov 2025 - 00:00 (UTC) Type of Contract To be defined Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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Sciences/MRC Laboratory of Medical Sciences (LMS), Faculty of Medicine, Hammersmith Campus About the role: The Chain Florey Transition-to-Independence (TTI) Fellowship provides funding for salary
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, and industry partners. Contribute to the publication of high-impact research papers. Qualifications: A PhD or equivalent in Mechanical Engineering, Materials Science, Aerospace Engineering, or a related
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
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completion) in Chemical Engineering, Mechanical Engineering, Physics, Computer Science, or a related discipline. Demonstrated experience in developing multi-physics models for electrochemical processes and
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will have a PhD (or close to completion) in Computational Fluid Dynamics with relevant experience in chemical engineering, heat transfer, combustion for direct application to plasma gasification using a