316 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Washington University in St" Postdoctoral positions in United Kingdom
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the lunar farside. The successful candidate will contribute to the development and scientific programme of the Lunar Farside Technosignature and Transients Telescope (LFT3; https://lft3.space). Lunar Farside
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of Management Studies at Aalto University School of Business (http://management.aalto.fi ). The department comprises several highly competitive research groups in organization and management theory, strategy
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well as the exciting opportunities this role presents, we also offer some great benefits which can be seen in the link below: Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. Our commitment
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of Speech Code of practice https://www.lstmed.ac.uk/about/policies-and-procedures/freedom-of-speech-code-of-practice . LSTM actively promotes Equal Opportunities and Safeguarding Policies
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multidisciplinary datasets into volcanic eruption assessments' led by Prof. Janine Kavanagh, Dr. Katy Chamberlain and Prof. John Wheeler, and is associated with Kavanagh's UK Research and Innovation (UKRI) Future
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this appointment. Key attributes of the successful applicant include: Strong coding skills (e.g., MATLAB) Advanced statistical experience An excellent publication track record Experience of conducting research with
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Drug Discovery Neurobiologist (Research Associate) The ALBORADA Drug Discovery Institute (ADDI), part of the University of Cambridge Department of Clinical Neuroscience (http://cambridge
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), or Dr Paul Donaghy (paul.donaghy@newcastle.ac.uk ). Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/ . Find out more about our Research Institutes here
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Postdoctoral Researcher in visual cognitive computational neuroscience Supervisor: Dr. Kamila Maria Jozwik, Jozwik lab, University of Cambridge Application deadline: 2 April 2026 Start date: October
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research supervision, during this appointment. Key attributes of the successful applicant include: Strong coding skills (e.g., MATLAB) Advanced statistical experience An excellent publication track record