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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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situated in the Big Data Institute on the University’s Old Road Campus. NDPH contains world renowned population health research groups and provides an excellent environment for multi-disciplinary research
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information of at least 2 referees. Review of applications will start from 23 March, 2026 and continue until 2 April, 2026, or until the posts are filled, whichever is earlier.
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the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas: machine learning or deep learning, structural
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of researchers together with an integrated academic and industrial project team to develop new learning and to disseminate the project findings. For more information about the Research Assistant (grade 5) please
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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2026 The research associate will work closely with a Finance area faculty member, primarily supporting research and data analysis pertaining to the Center's various on-going research projects
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of statistical shape modelling. Position The project aims to advance personalized musculoskeletal care by transforming routinely available imaging data, such as 2D X-rays and increasingly common surface scans
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for space applications. The project aims to drastically reduce power consumption and data bandwidth while increasing processing speed and dynamic range compared to conventional image sensors. The technology
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training pipelines using modern ML frameworks Generating data on miBd–pMHC interactions to guide iterative model optimization, espeicially for specificity Benchmarking AI-designed recognition modules against