36 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at DURHAM UNIVERSITY
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29 Jan 2025 Job Information Organisation/Company DURHAM UNIVERSITY Research Field Computer science Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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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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, flavour physics, model building, Monte Carlo simulations, precision standard model physics, neutrino physics, particle astrophysics, strong interactions and novel computational methods. They will have an
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Deadline 30 Mar 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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agent-based models which will then be tested against empirical data collected in diverse field sites using Approximate Bayesian Computation. The successful applicant will be supervised by the PI (Sheina
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field. Collaboration with our European partners is anticipated, and the successful candidate will be encouraged to adopt a creative approach to problem-solving, exploring various deep learning techniques
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and inclusion. It is essential that the successful candidates have a PhD in Mathematics, Physics, or a closely related field, and will have demonstrated strength in independent research appropriate
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Researcher (R3) Country United Kingdom Application Deadline 5 Apr 2025 - 00:00 (UTC) Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a
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Criteria: Qualifications A good first degree in Chemical Engineering or Chemistry. A PhD (or be close to submission) in Crystallisation or a related subject. Experience Experience in conducting high quality
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The post holder will be responsible for a) designing and conducting an original programme of individual research that aligns with the aims and objectives of the Visual and Material Lab and b