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, applied mathematics, machine learning, data science, or a closely related discipline, with demonstrable expertise in artificial intelligence or data-driven systems. Knowledge and proven experience in
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A position exists for a Post Doctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics, funded by the High Energy Physics group's STFC Consolidated grant
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Job Purpose Based in the Centre for the Cellular Microenvironment (https://glasgow.thecemi.org/) at the University of Glasgow, you will contribute to the cross-disciplinary project “Linking obesity with breast cancer: effect of fat tissue microenvironment on tumour growth and invasion” working...
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experimentally investigated. About you You should possess a PhD or DPhil (or be near completion of) in the field of engineering, physics or applied mathematics together with relevant experience in the field
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needs. In addition, your role might involve supporting existing initiatives, organising workshops, proposal development and writing. PhD in Engineering, Physics, Mathematics, Computer Science or a closely
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Job Purpose You will contribute to a project investigating the role of sleep and circadian disruption in mood disorders and their comorbidity with cardiometabolic disease, working with Dr Laura Lyall. The successful candidate will also be expected to contribute to the formulation and submission...
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equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new optimization techniques, coding new algorithms, creating new mathematical
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London Institute for Mathematical Sciences, Research Position ID: London Institute for Mathematical Sciences -Research -POSTDOC [#28989] Position Title: Position Type: Postdoctoral Position
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Applicants are invited to apply for two Post Doctoral Research Associate positions within the Department of Applied Mathematics and Theoretical Physics, under the instruction of Professor Raymond E
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, physics, mathematics, statistics or related fields. Evidence of good understanding (or capacity to develop understanding) of statistics and ML. Evidence of a good understanding (or capacity to develop