89 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at The University of Southampton
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We are seeking to appoint a 3-year Research Fellow within the School of Mathematical Sciences at the University of Southampton in the research programme “Mathematical Foundations of Intelligence
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. Required Knowledge, Skills, and Abilities: PhD or equivalent qualifications / experience in Experimental Photochemistry or related area. Preferred Knowledge, Skills, and Abilities: Experience in the field
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this research at the forefront of innovation. The project involves a multidisciplinary team with researchers from the Optoelectronics Research Centre and School of Engineering (Prof Chris Holmes and Dr Pier Sazio
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child health. The position is based at the MRC Lifecourse Epidemiology Centre, and part of an NIHR-funded programme of research which aims to inform how people can be better supported to plan and prepare
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Applications are invited for a CRUK Research Fellow position to join the Cancer B-cell Group. The successful candidate will have a PhD degree or equivalent EU qualification and experience. Knowledge
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qualifications and experience in Computer Science, Financial Technology, Data Science, Artificial Intelligence, or a similar field. Experience with AI model development and deployment using Python and other
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enquires about the project can be made to Dr Richard Meek (r.w.meek@soton.ac.uk ) About You You will have or be near completion of a PhD in biology, chemistry or related discipline, where you have gained
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statistical analysis plans. The post holder will work closely with a range of colleagues and partners, including other statisticians, research fellows, computing staff, and research doctors and nurses. The post
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of Southampton is hosting and other similar events. You will also engage with staff at the School of Electronics and Computer Science (ECS) from a range of ECS groups and ECS centres, who themselves have exciting
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digital tools. One such tool, developed through the Cluster-AIM programme, uses social care and health data to identify people at risk of escalating social care needs. About the role You will support the