169 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Sheffield
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Essential Application/interview Creative and innovative with a track record of independent problem solving Essential Application/interview Ability to work without close supervision and ability to plan and
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Astrophysics (PPPA) group at the University of Sheffield, in collaboration with other institutions and industrial partners, pursues a wide programme related to these muon applications. This PhD project is
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annum Work arrangement Full-time Line manager Head of the Academic Programmes Office Direct reports Academic Programmes and Quality Advisers, Curriculum Data Adviser Our website https://sheffield.ac.uk
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website https://sheffield.ac.uk/mac For informal enquiries about this job contact Phillip Pickstock (p.pickstock@sheffield.ac.uk) Next steps in the recruitment process It is anticipated that the selection
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The Japanese Long-Baseline Neutrino Programme (T2K, Super-Kamiokande and Hyper-Kamiokande) School of Mathematical and Physical Sciences PhD Research Project Competition Funded UK Students Dr Patrick
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& professional services) Essential Application/Interview Excellent organisational skills with the ability to prioritise demands, manage your own resource requirements and plan and progress work activities in
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working groups or initiatives as required, taking an active role in the implementation of any changes Plan and review workload allocations across the team, ensuring all objectives and deadlines are achieved
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organise resources, and plan and progress work activities. Essential Application/interview Ability to work thoroughly and methodically, sometimes under pressure working to tight and competing deadlines
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of relevant scientific programming language(s) (e.g. MATLAB, Python) Essential Application Experience using the Ice Sheet and Sea Level System Model or similar numerical ice flow models and/or Experience using
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bioinformatics or programming (R/Python) is highly desirable. We welcome applicants from diverse backgrounds who are enthusiastic about combining molecular (wet-lab) and computational approaches to uncover how