17 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at DURHAM UNIVERSITY
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The Role The successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects
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The Role This post holder will be responsible to develop next generation non-terrestrial networking (NTN) technologies and demos , including satellite, UAV-based edge computing, integrated sensing
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The Role This position is funded by EPSRC New Investigator Award: "Distributed Lov sz Local Lemma", principal investigator Dr. Peter Davies-Peck. The successful applicant will conduct research into algorithms for the Lov sz Local Lemma and related problems in distributed and parallel models....
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project is time limited and will end on 31/12/2027. Person Specification Essential Criteria: Qualifications A good first degree in an Engineering related subject. A PhD (or be close to submission) in Marine
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computational foundations of machine learning. There will of course be time to pursue independent research. The expectation is that the post-holder will use the project to complement their own research
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extended.) Person Specification Essential Criteria: Qualifications A good first degree in Mathematics, Physics or a related subject. A PhD (or be close to submission) in Applied Mathematics, Solar Physics
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, to identify promising research directions, to develop new research methods, to implement those methods in computer code, and to evaluate their performance on various data sets and applications. To take part in
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protocols. Successful applicants will, ideally, be in post by 1st September 2025. Person Specification Essential Criteria: Qualifications A good first degree in Biology. A PhD (or be close to submission) in
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ideas/adaptation and development of research protocols. Person Specification Essential Criteria: Qualifications A good first degree in an Engineering related subject. A PhD (or be close to submission) in
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literature review methodologies, and have a good command of research knowledge relevant to Contextual Safeguarding. Research experience, including from their PhD, is essential, however we are open to