113 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "J" "J" positions in United Kingdom
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- THE HONG KONG POLYTECHNIC UNIVERSITY
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Kong for three subjects, and is in the global top 100 for 26 subjects. For further details about the University, please visit PolyU’s website at https://www.polyu.edu.hk/ . Department of Chinese History
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is unique to the MIBTP programme; please do not use any other link to apply to this project or your application may be rejected. References: 1. Osman J, Higgins JD, Sanchez-Moran E, Armstrong SJ
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meet the residency criteria which requires that they have lived in the EEA, Switzerland, the UK or Gibraltar for at least the three years preceding the start date of the research degree programme
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Salary: Grade J £43,482 - £50,253; Grade K £50,253 - £58,225; Grade L £59,966 - £67,468 per annum The role The University of Bristol has a strong reputation in computer architecture that has its
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of Sheffield and Utrecht. Experience in plant metabolomics, transcriptomics, and/or programming (R/Python) is desirable. We welcome candidates from diverse backgrounds who enjoy combining wet-lab and omics
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via the Department for the Economy (DfE), are open to applicants worldwide, regardless of residency or domicile. Applicants who already hold a doctoral degree or who have been registered on a programme
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supports people to achieve their potential, please see our staff blog: https://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/ Contract type: Open ended Work pattern: Full time Grade: J
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., Oberhofer, M. and Schaeck, T. (2020), Deploying AI in the Enterprise, Apress Berkeley, CA, https://doi.org/10.1007/978-1-4842-6206-1 Programme for Government 2024–2027, Northern Ireland Executive, 2024
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Stage Researcher (R1) Country United Kingdom Application Deadline 4 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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Join the Oxford Martin Programme on Forecasting Technological Change at the University of Oxford, led by Dr François Lafond, Prof J. Doyne Farmer, and Prof Max Roser. This pioneering programme aims