198 computer-science-programming-languages-"St"-"ST"-"St"-"FEMTO-ST" positions at University of Bristol in United Kingdom
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As a hybrid cloud engineering you will enable academic endeavours by delivering high-level professional expertise and carrying out sophisticated techniques. Interpret, evaluate and present data
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PhD) in a relevant topic to machine learning and/or physical sciences Have experience in developing machine learning tools for scientific research Have an understanding of chemistry/molecular structure
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history, and an interest and significant previous experience in historical research related to the history of Hong Kong, broadly conceived, or who can demonstrate a commitment to a compelling new programme
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, guidance, and support on service development, performance, and conduct issues. Plan and shape technical service provision to meet operational needs, managing budgets and prioritising resources effectively
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biodiversity management. You have a PhD (or near completion) in quantitative ecology, conservation biology, or a related field. You are skilled in statistical modelling, particularly Bayesian and spatio-temporal
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high quality service to a range of stakeholders at all levels. Good computer skills with experience working with Excel, Word and MS Outlook is strongly preferred. The University of Bristol offers a
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role in supporting the team with practical logistics, helping to organise trips, visits, and related communications to ensure everything runs smoothly. Plan and deliver an exciting event – Play a key
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about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog: https://engineering.blogs.bristol.ac.uk/category
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electronics using MOCVD. This research position will give you the opportunity to make a major impact on future power device technology. This is a two-year position, initially. The CDTR is a vertically
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consortium meetings and write reports and papers to communicate your findings. You have (or will soon be awarded) a PhD in bacterial genomics/bioinformatics or a related computational subject and would ideally