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strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics
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and economy that respect people and their environment. We are looking for our next postdoctoral researcher in computer graphics and machine learning to join the Image, Data and Signal (IDS) department
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includes: Competitive wages, paid holidays, and generous time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
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networks, from a machine learning and information theory perspective. This basic research project has strong translational potential and aims to elucidate how immune function is altered during sepsis, with
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CLAIM project researchers. Participate in coordinating the research team. Where to apply E-mail [email protected] Requirements Research FieldCommunication sciencesEducation LevelPhD or equivalent
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diverse multidisciplinary and multicultural team. Brief Description: The Paleobiology, Biogeography and Stable Isotope Ecology Lab in the Department of Ecology and Evolution (E&E) at Stony Brook
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diverse multidisciplinary and multicultural team. Brief Description: The Paleobiology, Biogeography and Stable Isotope Ecology Lab in the Department of Ecology and Evolution (E&E) at Stony Brook
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 22-Jul-26 Location: East Lansing, Michigan Type: Full-time Categories: Academic/Faculty Agricultural Sciences
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infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable use of clinical data for AI and machine learning applications in complex diseases such as Cancer, Alzheimer's
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data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus