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experience of programming in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages, libraries, and platforms. Experience of close collaboration with researchers in
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. We are proud signatories of the Armed Forces Covenant and welcome applications from service people. Further information For general enquiries please contact Alex Inman, a.inman@exeter.ac.uk
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to learn new techniques and apply them in an interdisciplinary research environment. Application Process Applications for this vacancy are to be made online and you will be required to upload a supporting
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and maintains a working, learning and social environment in which the rights and dignity of all its staff and students and stakeholders are respected. We recognise the broad range of experiences that a
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applying mixed-method approaches. You should have some experience in social network analysis, or a strong willingness to learn and apply advanced social network methods. Experience in qualitative
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52 Faculty of Chemistry Startdate: 01.10.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.09.2028 Reference no.: 4486 Explore and teach
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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-responsive molecular machines. The project is funded by the European Research Council. Find out more about the Langton research group at: here About you Applicants must hold a PhD in Chemistry or a related
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related discipline. The candidates will have expertise in computational imaging, with: (i) an algorithmic focus, with particular interest in methods at the interface of deep learning and optimisation
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through international publications and international presentation activities Teaching skills, ideally including experience with e-learning Good subject-specific IT skills Very good written and spoken