281 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "P" "St" "St" Postdoctoral positions at Nature Careers
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the world. The successful applicant(s) will undertake discovery-driven research projects as part of a Medical Research Council Programme Grant Award that will lead to better understanding of PD and how
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data from the European XFEL facility at DESY. Project website: https://www.mpinat.mpg.de/628848/SM-Ultrafast-XRay-Diffraction Your profile Eligible candidates have strong skills in computational physics
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Diversity Champions programme. The John Innes Centre is a registered charity (No. 223852) grant-aided by the Biotechnology and Biological Sciences Research Council
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2-year postdoc position within physiological effects of vitamin D on immune and inflammatory resp...
information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it
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, including innovations in all that we do An environment encouraging curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster our staff’s soft and technical skills
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Possibility of mobile work and part-time work Family-friendly working environment Sustainable travel to work: subsidized Germany job ticket Our Corporate Health Management Program offers a holistic approach
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independence, with opportunities to shape experimental directions and contribute to the strategic development of the research program. Responsibilities Design, execute, and interpret advanced LC-MS/MS
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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