176 phd-in-architecture-and-built-environment Postdoctoral positions at University of Oxford
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to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene
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to junior members of the research group, including PhD students and project volunteers. The position is offered on a fixed-term basis until 30 September 2028, with a maximum duration of 24 months (twenty-four
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to evaluate and stress-test LLM agents in system-level environments. Studying adversarial threats and hijack scenarios. Developing practical safeguards and certification strategies to ensure safe execution
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public. This position is fixed term for 2 years and full-time (part-time working will be considered minimum of 30 hours per week, 0.8 FTE). About You You will hold a PhD (or close to completion) in a
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work with limited supervision to design and accurately execute experiments to achieve the goals of the project. Applicants should hold, or be close to completion of, a PhD in Biology or a related subject
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to design and accurately execute experiments to achieve the goals of the project. Applicants should hold, or be close to completion of, a PhD in Biology or a related subject. You should have a high level of
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and how it may respond to vaccination. You will supervise master’s and PhD students, and support the overall efforts of the lab. This post offers the opportunity to engage in cutting-edge translational
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be close to completion of, a PhD/DPhil in a relevant scientific field (e.g., Immunology, Biology, Biochemistry, Medical Laboratory Science), sufficient specialist knowledge and relevant experience
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completed, or be close to completing, a PhD/DPhil in a relevant quantitative field together with a demonstrable track record in studying humans and machine learning models. Advanced programming and
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of new methods relevant for drug discovery analysis pipelines, trial design and operational efficiency. Other responsibilities will include helping with supervision of PhD students working on projects as