77 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers in United Kingdom
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University College London (UCL) is seeking three outstanding academic leaders to drive transformative, cross‑disciplinary research programmes at the interface of health, life sciences, and
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or engineering backgrounds. What the Franklin PhD Programme Offers A unique research-focused environment, plus collaborations with leading universities and global companies Access to brand-new labs and industrial
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UCL is a world leading, global university with a community of more than 51,000 students from 150 countries and over 18,000 staff which pursues academic excellence, breaks boundaries, and makes a
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fellowships, to be held at the Crick or elsewhere. The Programme: Fellows at the Crick join a vibrant, multidisciplinary research community of over 1,000 scientists. They have full access to the Crick postdoc
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position (maternity cover) in the group of Dr Madeline Lancaster at the MRC Laboratory of Molecular Biology (LMB). The successful applicant will join a multi-disciplinary research programme aimed
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of cutting-edge human neural recording capabilities with collaborators in London and abroad. The opportunity You will lead an ambitious research program that translates circuit-level understanding from animal
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will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.
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role-related qualifications. Further information about the benefits available can be found at http://www.discover.ukri.org/benefits-of-working-at-ukri. The LMB is a world-class research institute within
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of triterpenoid bioactives, inspired by the chemical diversity of the Plant Kingdom. The post is part of a larger programme in the Osbourn lab on harnessing plant metabolic diversity for medicinal, agricultural and
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the interface of computational biology, molecular science and translational medicine, generating large multi-omic datasets that require robust, reproducible analysis to identify rare signals with high accuracy