300 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "https:" "Dr" "L2CM" Postdoctoral positions at Nature Careers
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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink
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contact Prof. Dr. Antonio del Sol (email address: ). Your profile Ph.D. degree in computational biology, bioinformatics, biology, computer science or related disciplines Strong computational skills
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the project's personalized treatment algorithms. For further information, please contact Prof. Dr. Antonio del Sol, antonio.delsol [at] uni.lu . Your profile Ph.D. degree in computational biology, bioinformatics
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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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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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program and a broad range of other research activities. Successful candidates will have the freedom to work with the research groups of Roderich Moessner, Marin Bukov, Ashley Cook, Libor Šmejkal, and
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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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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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and entrepreneurship in all areas Personalized learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50 nationalities
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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