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design and have the opportunity to demonstrate its performance by studying key catalytic reactions important to the energy transition. Previous experience of adapting/developing vacuum instrumentation and
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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evaluations, attacks on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related
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starting as soon as possible. The location of work can be Oxford or CERN. To develop the design and the technology of the vertex detector for LHCb Upgrade II through the TDR phase. The successful candidate
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projects in computer vision research, with a particular emphasis on Spatial Intelligence, 3D Computer Vision, and 3D Generative AI. You should hold a relevant PhD/DPhil (or near completion*) in Computer
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with limited supervision to design and accurately execute experiments to achieve the goals of the project. Applicants will be educated to degree level or have equivalent professional experience in
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of cells and modules in realistic drive cycle scenarios. This activity will link closely with the design of BMS and cooling systems to maximise the safety of the developed propulsion system. You should
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close to completing, a PhD/DPhil in cell biology, molecular biology, biomedicine, or a related field. You will have in-depth knowledge and experience in the cell and molecular biology of cancer, as
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determined by the funding available. About you You should hold, or be near completion of, a PhD/DPhil in Molecular Microbiology, Biochemistry, Biophysics or related discipline. You must have substantive
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the field Ability to independently plan and manage a research project Ability to effectively communicate and work within an inter-disciplinary team Benefits of working University employees enjoy 38 days’ paid