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program focused on obesity and eating disorders, with a particular emphasis on developing and evaluating screening and assessment pathways to improve health outcomes for children, adolescents, and families
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Advance photoelectrochemical catalysis for sunlight-driven green fuels — from catalyst design to working prototype. · Salary package: $112,550 per annum (Level A.6, PhD awarded rate) plus 17
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well as their applications to data science and computational dynamics. Applicants can read more about the project at the Lie-Størmer Center's homepage . At the Lie-Størmer Center, we foster dialogue through collaborative
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Research Fellow role embedded within a major externally funded research programme in soil science. You will lead the delivery of synchrotron and X-ray imaging components of a UKRI Future Leaders Fellowship
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 15 hours ago
designing, implementing, and optimizing computational pathology workflows from image acquisition through analysis output with understanding pre-processing techniques Learn about cutting-edge vision and
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(ISAC) for Future 6G Radio Access Networks. This exciting opportunity will see the successful candidate work on a collaborative research project with Interdigital, addressing technology creation
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(ISAC) for Future 6G Radio Access Networks. This exciting opportunity will see the successful candidate work on a collaborative research project with Interdigital, addressing technology creation
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will work with Rita Pucci (computer scientist) and Luna van der Loos (seaweed biologist and taxonomist). You will also be part of our PhD and postdoc community — a close-knit group of around 50 PhD
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instrumentation, physical modelling, sensor technology, or experimental validation is advantageous. Experience with three-dimensional modelling, computer-aided design (CAD), or additive manufacturing (3D printing
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. The Wellcome Bioimaging project to accelerate cutting-edge bioimaging technology development, is a five-year cross-disciplinary programme, led by Professor Maddy Parsons from the School of Basic & Medical