371 programming-language-"HT---Human-Technopole" Postdoctoral positions in United Kingdom
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interdisciplinary research programme involves national and international collaborators. We are a vibrant, enthusiastic, innovative and strategic enterprise with an internationally leading position to make a real
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on the project. About You You will have a doctoral degree in either Linguistics or Psychology (with a focus on language), a background in Linguistics, and be willing to work in a Linguistically oriented
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areas of science, engineering, design, business and languages. Heriot-Watt is also Scotland's most international university, boasting the largest international student cohort. How to Apply Please submit
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available from 1st September 2025 for one year in the first instance. The successful applicant will plan, conduct and analyse qualitative ‘think aloud’ interviews with those living with multiple long-term
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learning techniques Skills and Abilities Proficiency in Phyton coding Demonstrate the ability to meet deadlines and work under tight time scales. Show excellent verbal and written English communication
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to sponsor the employment of international workers in this role. If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office’s English Language
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Metabolism (OCDEM) on studies related to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across
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Science Park. The post is funded by Innovate UK and is fixed-term to 30th April 2026. The CEBD project is an ambitious programme to develop the first category enhanced battery powered eVTOL. The project
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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infrastructure, cloud computing, or digital sovereignty Excellent communication and collaboration skills in English Basic understanding of quantitative methods (e.g. multiple regression) Additional selection