56 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "Keele University" positions at The University of Southampton
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, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM/multiphysics, wave propagation
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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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support faculty objectives by working on the development of the faculty marketing plan and managing its implementation, collaborating with a wide range of academic and marketing stakeholders to bring
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, Introduction to Marketing for Accounting & Finance, International Marketing etc., and engage in other necessary educational activities to ensure successful delivery of degree programmes. Once teaching activities
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, Contemporary Issues in Accounting, and Sustainability Reporting, etc and engage in other necessary educational activities to ensure successful delivery of degree programmes. Once teaching activities are embedded
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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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. 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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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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applications from active students on Taught Programmes (PGT Students) Forthcoming Exams 2025/26 Semester Two assessment: Monday 18 May - Friday 5 June 2026 (excluding Bank Holiday Monday 25 May but possibly
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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