20 assistant-professor-computer-science-and-data Postdoctoral positions at University of London
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Computer Science or a related topic. Applicants at the PDRA level must have a PhD in NLP or machine learning. Substantial knowledge of Natural Language Processing (NLP) and machine learning methods is essential, as
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” funded by Korea Institute for Advancement of Technology (KIAT), led by Dr Changjae Oh. The objective of the postdoctoral research assistant position is to investigate and advance vision-language object
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View All Vacancies Comparative Biomedical Sciences Location: Hawkshead (nr Potters Bar, Herts) Salary: £40,528 to £51,470 Per Annum Including London Weighting Fixed Term / Full Time Closing Date
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Technology Laboratory (DSTL), Electromagnetic Environment (EME) Hub. About You Applicants should have a PhD in modelling hypothetical scenarios, with and without data, for structured decision-making under
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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initiatives for the multi-country research project, CoastARTS, led by Professor Helen Gilbert and funded by the Arts and Humanities Research Council in collaboration with national councils in Ireland, Portugal
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Liu. You will be a key member of the CDA Group, contributing to our development and the success of our mission. The core responsibility of this role is the development of multiscale computational models
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and development of the research programme. The successful candidate will undertake the research investigations under the supervision of the Principal Investigators and in collaboration with other
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research assistant for one year with potential extension to the end of the project in November 2026. BAC4RumA is IDRC funded project looking for alternatives to Antibiotics for cattle and farmed tilapia in
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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