92 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at UNIVERSITY OF SOUTHAMPTON
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and teaching within the School of Clinical and Experimental Science within the Faculty of Medicine, University of Southampton in Association with Professor Tristan Clark who has a programme of research
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discussion about the position, please contact Dr Yoshishige Tsuchiya (yt2@ecs.soton.ac.uk ). Equality, diversity and Inclusion is central to the ethos in the School of Electronics and Computer Science. We
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Accounting, and Sustainability Reporting, etc and engage in other necessary educational activities to ensure successful delivery of degree programmes. Once teaching activities are embedded and successful
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Marketing for Accounting & Finance, International Marketing etc., and engage in other necessary educational activities to ensure successful delivery of degree programmes. Once teaching activities are embedded
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. They will have experience with plants, microbiomes, and bees/pollinators. Key accountabilities / duties You will: Design and execute controlled plant growth and stress-response programmes across model crops
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interpreting data, communicating clearly with stakeholders, demonstrate initiative when problem solving and plan workload to meet deadlines in a highly deadline driven environment. Good communication, IT and
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qualification and/or minimum NVQ Level 3 in Mechanical engineering or equivalent discipline and have successfully completed a Mechanical apprenticeship or similar training programme. You will be familiar with
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centres for aeroacoustics research. The successful candidate will join a dynamic and collaborative research environment supported by state‑of‑the‑art laboratories, high‑performance computing facilities and
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findings at international conferences. Required qualifications and experience: To succeed, you will hold a PhD (or be close to completion) in Computer Science, Applied Mathematics/Statistics, Physics
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highlight how your experience and research interests are relevant or transferrable to studying AGN host galaxies and how you plan to exploit data from LSST, Euclid and 4MOST for such studies. Informal