387 developer-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" Postdoctoral positions in United Kingdom
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on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development
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optimization. Your future tasks Participation in research, teaching and administration in the field of Computer Science in Sport / Data Analytics in Sport. This involves: Developing and strengthening
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would aim to: Organise and manage multicentre datasets of MRI brain imaging from patients with epilepsy and other neurological disorders Develop robust AI tools to segment and characterise neuroimaging
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We invite applications for a Postdoctoral Research Associate in developing AI tools to integrate multimodal health data such as genetics, electronic health records, and molecular measurements in
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develop analysis plans, ethical protocols, standard operating procedures and similar as required for ongoing and future studies as well as undertake related literature reviews. You will curate and analyse
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need to manage your own academic research and administrative activities; adapt existing and develop new scientific techniques and experimental protocols relating specifically to endolysosomal patch
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materials. The role focuses on developing cutting‑edge simulation tools and contributing to bespoke high‑rate experiments within Oxford’s Impact Engineering Laboratory. You will be responsible for: Advancing
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. The postholder will be responsible for adapting existing, and developing new, analytical methodologies on both fluid and rock samples to determine helium, hydrogen and associated noble gas isotopic and other trace
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project “Developing a water tank cleaning system using a non-invasive ultrasonic cleaning submarine”. This role offers the opportunity for hybrid working – some time on campus and some from home. We welcome
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development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities. Queen Mary’s commitment