443 parallel-processing-bioinformatics-"Multiple" Postdoctoral positions in United Kingdom
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The Role Applications are invited for a Postdoctoral Research Associate in the field of Quantitative Sedimentology and Geophysics of Seafloor Processes. The successful applicant will be part of two
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near to Windsor Great Park and within commuting distance from London. For queries on the application process the Human Resources Department can be contacted by email at: recruitment@rhul.ac.uk Please
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should have experience of working with computational and analytical techniques in the areas of natural language processing (including, among others, topic modelling), computational linguistics, and machine
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recently developed in a commercial 65 nm CMOS imaging process by a large international consortium of engineers and scientists for the ALICE ITS3 upgrade and the future experiments, ePIC@EIC and ALICE3@LHC
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ubiquitylation in cell regulation and human disease, to facilitate the development of drugs to treat diseases caused by abnormalities in phosphorylation, to generate reagents and improve technologies. A key remit
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of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge
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, inclusive employment policies, flexible working arrangements, and campus facilities. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable
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read the Job Description provided below. If you would like to join our people and share our ambition, we would love to hear from you! Application & Assessment Process: To apply, please submit a CV and
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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materials. This project will make use of operando optical microscopy experiments to observe these phenomena in real-time during battery operation. The successful applicant will have the opportunity to work as