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/ Python and various CFD software to develop fuel cells and engine models for powertrains and propulsion systems within the transportation and energy sectors. Skills Demonstrable ability to work
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Associate position focusing on control systems engineering, artificial intelligence (AI), and scientific machine learning (SciML) applied to nuclear fusion energy. The successful candidate will join the
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investigating how continued warming might drive further changes in upcoming decades, and what effects this might have on entanglement risk in the future. The new researcher’s primary role will be to lead
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Qualifications: A PhD in Computational Chemistry, Physics, Chemical Engineering, Materials Science and Engineering, or a related field completed within the last 5 years Experience in theoretical and computational
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from Imperial College London, University of Bristol and Durham University. The successful applicant will work within a multidisciplinary team of electrochemists, material scientists, composite engineers
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skills in English. Ability to work effectively in an international and multidisciplinary team. Experience with HHG sources, high-power laser systems, vacuum technology, XUV optics, detectors, automated
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-, polymer-, and biomaterial-based systems and their characterization. Skill in experimental design, materials characterization, and analysis and interpretation of research data. Ability to independently
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Engineering, Synthetic Biology, or a closely related field. 3-5 years of experience Demonstrated ability to design and execute experiments involving mammalian cells, biomaterials or device-relevant culture
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Skip to main content Recruit Home Open Recruitments Postdoctoral Researcher – Metabolic Engineering & Synthetic Biology (JPF11227) Postdoctoral Researcher – Metabolic Engineering & Synthetic Biology
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, health policy, medicine, psychology, sociology, anthropology, neuroscience, the humanities, science and technology studies, or another relevant discipline. Experience with qualitative, quantitative