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Number: 266902 Minimum Education and Experience: The successful candidate(s) must hold a PhD degree in quantitative biology (e.g. biophysics). Candidates must have 20+ years of quantitative bioscience
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to enroll in a PhD program Preference will be given to candidates with knowledge and skills in the following areas: machine learning and neural networks, including LSTMs and explainable artificial
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, funded by a Leverhulme Trust Research Leadership Award held by Dr Alessio Spurio Mancini. ECLIPSE's goal is to develop next-generation inference frameworks that combine machine learning with rigorous
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international academic institutions and 14 industry partners (https://euraxess.ec.europa.eu/jobs/401249 ). We work together in the field of fluid-structure interaction in technical systems and industrial
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3 Dec 2025 Job Information Organisation/Company Computer Vision Center (CVC) Research Field Physics Mathematics Computer science Researcher Profile First Stage Researcher (R1) Positions PhD
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would choose to work with lecturers clustered into three broad areas: Science and Technology, Arts and Design, Civic and Community. Applicants from any field representing the Computer Sciences are welcome
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that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
or intervention studies that seek to better understand and prevent posttraumatic neuropsychiatric sequelae (https://www.med.unc.edu/itr/). The Department of Psychiatry (https://www.med.unc.edu/psych/) in which
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methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and academia. The candidate
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accelerators including TrueBeam machines – all with onboard kV/MV radiograph/CBCT for IGRT and gated treatment, Halcyon, Ethos, large-bore CT simulators, PET/CT, MR unit, HDR units, ARIA information system, and