52 algorithm-development-"Multiple"-"Prof"-"UNIS" positions at University of Birmingham
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to helping the people who work here to develop through our sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement
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work here to develop through our sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full
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development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species
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and refine algorithms and models for large-scale language processing tasks, with a focus on healthcare data Contribute to developing new models, techniques and methods for clinical machine learning
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the prevalence and risk of modern slavery. There will be a focus on Bayesian nonparametric methods and practical development of MCMC algorithms that can be applied to data. Translating the project findings
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development of mathematical models and algorithms for the analysis of biopharmaceutical manufacturing processes with a focus on assuring safety and alignment of machine learning models with the expected
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an STFC-funded postdoctoral researcher to develop new inverse modelling (‘retrieval’) methods to extract 3D information from JWST secondary eclipse observations. The models will be applied to JWST
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-learningdisability/ ) a team of researchers showed that adults with Profound and Multiple Learning Disabilities (PMLD) and their family carers were disproportionately impacted by the COVID-19 pandemic. The post holder
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the TWICEASGOOD project, attending team meetings, disseminating results Contributing to the development research ideas related to project themes of gender, political communication and “everyday sexism” Analysing