30 coding-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at University of Cambridge
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ . The project is funded in collaboration with Ward & Burke, a leading engineering firm specialising in the design, manufacture, supply
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https://www.cambridgetrust.org/scholarships/ Applications should be made online via the University of Cambridge Applicant Portal: (via the above ‘Apply’ button) stating course code EGEGR3 with Project
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Social and Historical Sciences. For more information, please visit http://www.ucl.ac.uk/about UCL Mechanical Engineering UCL Mechanical Engineering has been pioneering the development of engineering
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information about the research in the Bernardes group can be found at: https://www.ch.cam.ac.uk/person/gb453 Applicants must satisfy the EC's eligibility requirements for MSC-ESR Fellowships, and must not have
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on our vacancies page, which provides an insight into the variety of experiences available to those working in this exciting sector: https://www.sel.cam.ac.uk/jobs The College offers excellent benefits
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, reward, and organisational culture reflects its charitable purpose, aligns with the Charity Governance Code, and upholds the highest standards of fairness, transparency, and accountability. About the Role
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and participate in scientific development. A PhD (or relevant experience) in ecosystem service modelling at global or national scales is essential alongside experience in the production of novel code
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: Comprehensive personalised Assessment, early Risk Evaluation and clinical management” (HER-CARE) project. The successful applicant will work on the project “Assessing the role of rare germline non-coding genetic
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experimental fluid dynamics. Experience with laboratory instrumentation, data acquisition, and coding for experiment control or data analysis (e.g. LabVIEW, MATLAB, or Python) would be beneficial. Applicants
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Distinction at postgraduate level) and experience conducting research with human volunteers. Experience with quantitative data analysis or experience with coding/programming is desirable, as is knowledge