251 evolution "https:" "https:" "https:" "https:" positions at University of Sheffield
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multiple priorities while delivering excellent results and providing a high level of support and development of staff. Main duties and responsibilities Provision of expert financial support, guidance, and
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focus on both LLM development and dataset curation. (1) For LLM design, we aim to propose a retrieval-augmented, multi-modal, and explainable Vision-Language Model (VLM) that supports multi-modal
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process, can be found at https://accedtp.ac.uk/, in the ‘prospective applicants’ tab. Project overview Background: The UK climate is changing, with summers becoming hotter and drier. Extreme events
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strong national and international professional profile by, for example, external examining, organising conferences and various committees. Teaching-related development work will be self-generated through
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The evolution and development of vertebrate skin appendage morphogenesis School of Biosciences PhD Research Project Self Funded Dr Rory Cooper, Dr Matthew Towers Application Deadline: Applications
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applications from motivated biology graduates who share an interest in microbial ecology and evolution and sustainable agriculture. For more information see: https://sites.google.com/sheffield.ac.uk/harrisonlab
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-dependent MLCS regulation on lysosomal trafficking, mitochondrial quality control and hypoxia-induced cell death. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd
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exposed to world-class expertise in the development and application of new biophysical methodologies. The University of Sheffield offers state-of-the-art facilities, collaboration opportunities with
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research projects, collaborated with more than 125 external partners, and received grants from 39 funders. Our expertise include database development, computational ontologies, natural language processing
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the development of initial analytic pipelines for supervised machine learning models. Main duties and responsibilities Support research that applies advanced quantitative methods to identify predictors