108 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "J" positions in United Kingdom
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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. Applicants who already hold a
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Apply and key information This project is funded by: North South Research Programme (NSRP), funded through the Shared Island Fund Summary Applications are invited by Ulster University for a PhD in
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. The programme consists of four themes, covering all disease areas: Theme 1: Diagnostic and prognostic indications Timely identification of disease strongly influences the outcome and the cost of healthcare, but
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for innovation, productivity and internationally orientation in the NIE Programme for Government and are one of seven sector specific action plans (DfE 2024). Data on Creative Industries’ (CI) participation
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explore how this programme could also work for children with SEN and complex needs, and engage parents and families more directly. Aim: To explore the impact of a school based PL programme for children with
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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. Applicants who already hold a doctoral degree or who have
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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. Applicants who already hold a
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://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/ Contract type: Open ended Work pattern: Full time Grade: J Salary: £43,482 - £50,253 per annum School/Unit: School of Computer Science This advert will close at23
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Research Assistant COLLEGE OF MVLS SCHOOL of Cancer Sciences GRADE 6 Job Purpose You will contribute to the CRUK-funded programme, IAMMED-Meso, working with Professor Daniel J. Murphy and the
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, Vol. 12, No. 5, 2021 Hechler, E., 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