231 cloud-computing-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" Postdoctoral positions in United Kingdom
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Associate post. Funded by UKRI EPSRC, the project “CHEDDAR: Communications Hub For Empowering Distributed ClouD Computing Applications And Research” aims to empower distributed cloud computing applications
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, meaning that familiarity with one or more cloud-based platforms such as Google Earth Engine, Microsoft Planetary Computer and/or Amazon Web Server/similar is essential. It will also involve the development
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the use of computing servers Desirable Criteria Experience fine-tuning large language models (e.g., BERT, BioGPT, MedPaLM) for clinical NLP tasks. Experience with cloud or distributed computing environments
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achieving beam stability with minimal impact on beam lifetime. Detrimental coherent beam instabilities such as, e.g., the slow head-tail or electron cloud instability, are typically mitigated with schemes
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Location: Trinity College Institute of Neuroscience (TCIN), Trinity College Dublin, Ireland This postdoctoral position contributes to a UKRI-funded programme developing anatomy driven artificial
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Nuffield Department of Clinical Neurosciences (NDCN), Trinity College Institute of Neuroscience (TCIN), Trinity College Dublin, Ireland This postdoctoral position contributes to a UKRI-funded programme
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application of AI and machine learning models to interpret complex X-ray datasets, and the integration of experimental and computational insights to generate actionable knowledge that advances sustainable metal
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About us The Department of Informatics is looking to recruit a Postdoctoral Research Associate (PDRA) to join the lab of Dr. David Watson in the Department of Informatics, based at Bush House in
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and impactful research into intrinsic motivation, with a particular focus on building computational theories that predict human behaviour in the absence of extrinsic rewards, and testing them using
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of flexible or part‑time working. The Project Working under the supervision of Professor Nicole Grobert, you will contribute to a collaborative research programme focused on applying AI‑driven analysis to in