313 structures "https:" "https:" "https:" "https:" "https:" "University of Kent" research jobs at Nature Careers
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structure and regulation of the main transcriptional regulator of drug efflux in Candida auris: Tac1b. Candida auris is a particularly threatening “superbug” for its ability to resist most antifungal drugs
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science and technology companies (https://www.norwichresearchpark.com). In 2027, our new state-of-the-art Science Research Laboratories will open, housing six floors of laboratories, workspaces and teaching
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assistants. Our vision is to unlock the combined potential of humans and artificial intelligence (AI) for the rapid and reliable construction of digital systems, guided by rigorous mathematical foundations
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and experimentally demonstrate the potential of advanced optical materials for nanoscale photonics. Your role will involve using a variety of experimental techniques, including fabrication, structural
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. This PhD project aims to develop
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activities. Please contact Dr. Sam Bayliss (sam.bayliss@glasgow.ac.uk ) to discuss further. For more information and to apply online: https://www.jobs.gla.ac.uk/job/research-associate-in-optically-addressable
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teaching, research, and service mission. Apply online at https://psu.wd1.myworkdayjobs.com/PSU_Staff/job/College-of-Medicine/Postdoctoral-Scholar---Pediatrics_REQ_0000074211-1 CAMPUS SECURITY CRIME
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 23 days ago
. We are associated with Lund University Diabetes Centre: https://www.ludc.lu.se About the Research Group Our international team specializes in exploring immune pathways, especially within cancer and
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, circuit discovery, activation patching, and representation engineering, with a focus on compositional structure in learned representations, as well as testing universality across models and languages