45 computer-programmer-"https:"-"Brookhaven-Lab" "https:" "https:" "https:" "Dr" "DESY" Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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centres for aeroacoustics research. The successful candidate will join a dynamic and collaborative research environment supported by state‑of‑the‑art laboratories, high‑performance computing facilities and
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involving industry and academia, funded substantially by the UK Space Agency. This is part of the UK Space Agency National Space Innovation Programme just announced by UKSA. The overall project is to develop
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a UKRI Future Leaders Fellowship project awarded to Dr Duo Chan . About You We invite applications from candidates holding a PhD (or equivalent) in climate science or a related field, with
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programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer
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candidate will contribute to an interdisciplinary research programme focused on the design, synthesis, and characterisation of liquid metal nanomaterials as catalytic artificial enzymes for biomedical and
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suitable for a trainee with relevant experience in cancer clinical research as out of program experience or for someone wishing to pursue a career in these specialties prior to obtaining a training number
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designed to fulfil the requirements for an out-of-programme experience for a specialist trainee in oncology, haematology surgery, pathology or any other disciplines related to cancer, but may also be
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for Selective Absorbers. Your primary role will be to undertake theoretical and computational research on hyperuniform disordered photonic materials for frequency-selective solar-thermal absorbers based on metal
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researcher with a strong interest in optical fibre technology to work on the UK’s Engineering and Physical Sciences Research Council (EPSRC) funded Programme Grant, HiPPo (Smart Fibre optic High-power
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findings at international conferences. Required qualifications and experience: To succeed, you will hold a PhD (or be close to completion) in Computer Science, Applied Mathematics/Statistics, Physics