654 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions in United Kingdom
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, the role holder will be responsible for the supervision of PhD and MSc students working on the relevant topics with the project. It is an excellent opportunity for a researcher to further their skill set in
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INTERNAL APPLICANTS ONLY Faculty of Humanities, Arts and Social Sciences (HASS) This part time (0.5FTE) post is available from 1st March 2026 to 1st January 2028 in the Centre for Rural Policy
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of intellectual property and technology transfer. Supervising the activities of junior group members and mentoring PhD students. Assisting in the day-to-day maintenance of the experimental facilities, liaising with
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applications to external bodies. Applicants will possess a relevant PhD (Physics, Optics, Photonics, Optical Engineering or nearing completion) or possess an equivalent qualification/experience in a related
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PhD (or be near completion) in a field such as AI, computer science, signal processing, biomedical engineering, have a strong record of publication in engineering or computer science literature, and
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), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a PhD (or be near completion) in a field such as AI, computer science, signal
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Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible
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and plant nutrition. Applicants must be highly motivated and self-driven, with a PhD in a relevant plant sciences area (a PhD topic on plant-microbiota interactions is desirable). It is desirable
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research environment supported by a team with broad expertise in data science, infectious diseases, hepatology, and clinical informatics. You will take a leading role in analysing large-scale, longitudinal
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Materials & Composites Laboratory: https://eng.ox.ac.uk/mmclab/) in the Department of Engineering Science at Oxford University. The post is funded by the ERC Proof-of-Concept (PoC) grant: RESILIENT and is