1,041 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"RIKEN" PhD positions
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generalisation against noisy, live experimental data. This studentship is fully and securely funded by the University's £9M Research England-funded M3 4Impact expansion programme. This project is a cornerstone of
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(or equivalent international qualification ) with a UK master's degree (with an average programme mark of no less than 65%) or international equivalent . Applicants must meet the minimum English language
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Engineering, or a related discipline - Solid understanding of fluid dynamics and/or electromagnetism - Programming experience (preferably Python) - Interest in machine learning and scientific computing
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Doctoral Programme You must have an academically relevant background within mechanics of materials, solid mechanics or fatigue and fracture mechanics Documented strong background in experimental mechanics
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for admission to the faculty's Doctoral Programme Good written and oral English skills You must meet the requirements to obtain NATO security clearance for access to the facilities of the partner companies
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. The positions are part of the Microbial Electrochemical Methanation Initiative, a large collaborative research program funded by the Novo Nordisk Foundation (50 million DKK) with academic partners at DTU
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auroral observatory, the Kjell Henriksen Observatory. About the position The position is affiliated with the national research program Arctic Ocean 2050 . In the Arctic Ocean (AO), exchanges of heat, salt
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candidate for a 3-year, fully-funded PhD project. In this research programme, the PhD student will apply state-of-the-art synthetic biology and genome and metabolic engineering to enable environmental
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data to plan and maintain national digital infrastructure. Inaccurate mapping increases planning costs, project timelines and disruption to its operations and communities. You will be co-supervised by
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challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee