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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description How to best incorporate New Genomic Techniques to solve challenging issues
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… Requirements Specific Requirements A PhD in Mechanical Engineering, Chemical Engineering, Applied Physics, Computational Science, or a related field. Strong background in numerical modeling and/or computational
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across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty
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transfer of specialized know-how within the modules and laboratories of the 1st level Master's program in Molecular Pathology, including tutoring activities for students and PhD candidates. Third Mission
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that connect electrocatalyst and biocatalyst design, electrochemical and enzymatic reaction engineering, mechanistic investigation, and reactor-level performance optimization. The work may include
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. Furthermore, you meet the following requirements: You hold a PhD degree in Materials Science and Engineering, Physics, Chemistry, or a closely related discipline. You have a strong expertise in atomistic and
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international research funding. You will participate in the provision of academic services: you will represent the research group both internally and externally. Profile You hold a PhD in Engineering, (Electro
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Storage (SOLIS) project is an EPSRC-funded Critical Mass Programme focused on developing innovative, scalable and cost-effective solutions for long-duration interseasonal heat storage technologies
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We are seeking a full-time Postdoctoral Research Assistant in Machine Learning to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is fixed-term for 1 year
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and technology to industry and society. Computer vision is one of the most dynamic areas of artificial intelligence, enabling machines to understand and interpret the visual world. At CVC, we combine