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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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the programme of research for publication in top quality peer-reviewed academic journals. In addition, you will provide guidance to junior members of the research group including research assistants, PhD students
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of RNAseq data and in vivo modelling of cancer. In addition to leading your own research, you will provide guidance and support to junior members of the lab, including PhD and project students, research
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; and organising and deliver autonomous system trials and demonstrations at internal and external sites. You should possess a relevant PhD/DPhil or be near completion together with relevant experience
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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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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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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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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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use respiratory stimuli such as hypercapnic air mixtures delivered via a mask, breath-holds and hyperventilation to induce blood flow changes. You should hold a relevant PhD/DPhil or be near completion
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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