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the Department of Computer Science and Technology at the University of Cambridge. The position will be for 12 months from the 2nd February 2026 in the first instance. Project research topics must fall under
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A position is available for a Postdoctoral Research Associate (Postdoc) in the forthcoming Aspirational Computing Lab in the Department of Computer Science and Technology at the University
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of medulloblastoma biology, focussing specifically on tumour metabolic targets. You will develop and support the INSTINCT-MB. programme through the provision of experimental, analytical and bioinformatic expertise
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medicinal chemistry and the desire to learn molecular biology assay techniques. Industrial experience would be advantageous. Please note that this is a 4-year Graduate Teaching Assistant (GTA) studentship
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recruitment strategies for a novel prostate cancer screening study. Prostate cancer is the second commonest cause of cancer death in men in the UK. Currently there is no NHS screening programme, with men
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at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . WE OFFER The position will be filled for a period of 4 years (2 + 2). The starting date is in October 2025 or as
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
Location: West Cambridge, Cambridgeshire A position exists, for a Research Assistant/Associate in Photonics Integration of Graphene and Related Materials. The aim is to develop a new class of
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DEPARTMENT OF HEALTH TECHNOLOGY AND INFORMATICS Research Assistant Professor in Medical Laboratory Science / Biomedical Science / Medical Imaging and Radiation Science / Medical Physics / Medical
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of Vienna. This currently includes one full professor, one tenure-track professor, four postdoctoral researchers, four PhD students, an organisational assistant, and student assistants and interns (see https
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of Europe’s leading academic departments of population health sciences. The post will suit researchers interested in understanding computers energy usage to improve carbon footprint monitoring and reduce the