170 parallel-and-distributed-computing-phd Postdoctoral positions at University of Oxford in United Kingdom
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and Prof Paul Shearing. The post is funded through a strategic research partnership and is fixed term for up to 2 years. To support the programme, the post holder will be required to carry out research
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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 discispline. You
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institutions in the programme grant and with supporting industrial partners. About you You should possess a university PhD degree in mechanical engineering or a similar discipline, preferably with experience
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methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
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annum inclusive of Oxford University weighting Potential to under fill at grade 06RS: £34,982-£40,855 per annum inclusive of Oxford University weighting The Department of Computer Science seeks to employ
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on qualifications and relevant skills acquired and will also be determined by the funding available. About you You will hold a PhD/DPhil or be near completion of a PhD/DPhil in a related subject area and have
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to meet deadlines are essential. It is essential that you hold a PhD/DPhil (or close to completion) in immunology or a related field, alongside hands-on expertise in in vitro functional immunological assays
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, including research assistants, PhD students and project volunteers. This is an exciting opportunity to contribute to world-leading research while shaping bold, practical solutions for people and planet
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Professor Cathy Creswell. About You You will have or be close to completion of a PhD/DPhil in psychology, together with some relevant experience. Demonstrable experience of collecting and analysing
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and Mind Building, South Parks Road, Oxford Applicants must hold a PhD in Microbiology and/or Molecular biology and will be responsible for providing microbiological data to facilitate the design of new