41 algorithm-development-"Multiple"-"Prof"-"UNIS" research jobs at University of Birmingham
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algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
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inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor
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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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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
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closely together during the project. There will be opportunity for additional training for the successful applicant with our collaborators to develop a wide range of technical expertise in immunology