782 web-programmer-developer "https:" "https:" "https:" "U.S" Fellowship research jobs in United Kingdom
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dementia, driving a step change in our understanding of neurodegeneration, and accelerating the discovery, development and delivery of interventions that will help diagnose, treat, and ultimately prevent
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About the role - The role-holder will work collaboratively to support this
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opportunity to pursue an independent programme of research in this critical area and to join Oxford University’s Tuberculosis Grand Challenge (https://www.ineosoxford.ox.ac.uk/ioi-grand-challenge-tuberculosis
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on the Leverhulme Trust project Explicating Singularity Resolution: From Black Holes to Quantum Cosmology, led by Dr Karim Thebault (https://philosophyofphysicsbristol.org/explicating-singularity-resolution
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of Nottingham Ningbo China, contributing to the development of the university’s research agenda. Your Responsibility Your key responsibilities include: Design and Develop Research: Formulate clear research
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skills organised by the College of Medical, Veterinary and Life Sciences Graduate School. Full details of the programme are available at http://www.fom.gla.ac.uk/RDTC/ Regular attendance and contributions
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the project forward and translate our research into tangible innovations for the UK’s growing photonics sector, building upon our recent work published in Nature (https://www.nature.com/articles/s41586-025
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that are relevant to industry demands while working on research projects in SIT. This role supports the Future Ship and System Design (FSSD) Programme, which aims to accelerate the decarbonisation and digitalisation
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candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record
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Systems (Mixed-Signal IC Design) Ideal candidates have Specialist Knowledge in Neuromorphic Engineering, with experience in designing and testing Mixed Mode IC systems, working with and/or developing