413 web-programmer-developer-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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date no later than 30th September 2026. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the
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The Role This role is for a Postdoctoral Research Associate in organofluorine chemistry with an emphasis on the development of new fluorination reactions using elemental fluorine (F2 ). This role is
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of Aarhus is a partner), and contribute to open-source tools that will benefit the wider software development community. You will be expected to conduct independent research, publish in leading academic
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About Us This role offers a unique opportunity to work at the forefront of clinical mass spectrometry, developing and applying targeted metabolomics and lipidomics methods in collaboration with
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technical art history to develop mathematically grounded and explainable AI methods for the integration and interpretation of multi-modal, heterogeneous, incomplete and uncertain data arising in
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for over thirty years and the models she has developed are considered amongst the best in the world, used by regulators, industry and the United Nations through the International Telecommunications Union
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the development of their own research ideas/adaptation and development of research protocols. Successful applicants should be in post by 1st March 2026 For informal enquiries please contact Dr Niklas Ihssen. All
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months in the first instance (there may be an opportunity to extend). We would be willing to consider applications for part-time hours. There will be opportunities to develop skills in the technical
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Postdoctoral Researcher. The group aims to identify, understand, and develop therapies for rare genetic disorders. The group is primarily computational but partners with multiple international labs (including
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geothermal processes along the volcanic arc, inform future field deployments, and serve as benchmarks for the development of new deep learning methods for volcanic seismicity. This project will apply deep