23 parallel-and-distributed-computing-phd Postdoctoral positions at University of London
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offers opportunities to publish, present at conferences and contribute to advances in marine engineering and sustainable aquaculture. About You You will hold a PhD in Mechanical/Marine/Computational
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practice. They will also be supported to develop their career and build grant or fellowship applications. About You Candidates must have a PhD (or close to completion) or research qualification/experience
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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information on both roles. About You Candidates must have an Undergraduate Degree in health data science or similar field. Applicants at the PDRA level must have a PhD (or close to completion) or research
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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should have, or be close to completing, a PhD (or equivalent qualification) in Astronomy/Astrophysics or a closely-related discipline, and have a history of publications and oral/poster presentations
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postdoctoral research staff. There are around 1371 undergraduate and postgraduate students and 233 PhD students. These are supported by an administrative and technical staff team of 56. The staff and student
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group, work as part of the research team, mutually supportive, cover duties as necessary. About You The candidate should have experience working in a research, possibly with a PhD. Experience in standard
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) and reports and will work as part of a team. About You The candidate will have a PhD or be close to holding a PhD in the musculoskeletal field and expertise in the area of osteoarthritis or cartilage
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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve