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Number: 269896 Minimum Education and Experience: The individual must have completed a PhD in biology, biochemistry, molecular biology, or metabolic engineering with extensive computational research and lab
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/Biomedical Engineering departments at the University of Connecticut (Monty Escabí), and the Connecticut Institute for Brain and Cognitive Sciences. MINIMUM QUALIFICATIONS A PhD in Neuroscience, Biomedical
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IV is a world-leading synchrotron facility, providing researchers with cutting-edge tools to advance knowledge across materials science, life science, chemistry and physics. Join us for a unique chance
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of a multidisciplinary research team. *Demonstrated ability to support and guide team members and PhD/master's students to help build their. research skill and knowledge *Experience in setting own
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exceptional benefits, please visit https://www.uky.edu/hr/benefits Skills / Knowledge / Abilities RT-PCR, ChIP-seq, RNA-seq, Bio-informatics, Western blot, animal experiments Does this position have supervisory
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transformation of society in western Europe (GREEKWEST)', which is funded by an ERC Starting Grant and hosted in the Department of Archaeology, Classics and Egyptology ( https://www.liverpool.ac.uk/archaeology
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days ago
skills Specific Requirements The candidate must hold a PhD in machine learning and have strong mathematical skills. Knowledge of bandit models is a plus. LanguagesFRENCHLevelBasic LanguagesENGLISHLevelGood
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students, and master's students, supported by 24 engineers, technicians, and administrative staff. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5635-MIKBEC-030/Candidater.aspx Requirements
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spectroscopic properties of newly developed compounds, and their characterization. The scope of duties will also include collaboration with students and PhD candidates, preparation of scientific reports and
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at: https://www.icho.edu.pl/en/cooperations/career/ . Selection process Candidate evaluation criteria knowledge of organic chemistry scientific achievements measured by the quality and number of scientific