274 computer-programmer-"https:"-"FEMTO-ST"-"U" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" Postdoctoral positions at Nature Careers
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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part of an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional
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Postdoctoral Research Associate - Training in Pediatric Cancer Survivorship Outcomes and Interventio
, computational biology, psychology and neuropsychology, neuroscience, exercise physiology, oncology, pharmacology, radiology, surgery and biostatistics. St. Jude leads two of the world's largest pediatric
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bioinformatics, to join our team in Leuven. A successful candidate: Has a master’s degree in Bioinformatics and affinity with Computer Science, Bio-engineering and Life Sciences Has a PhD and experience with
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to applicants who have received their Ph.D. degrees in neuroscience or related fields within the last 3 years and have experience in imaging in vivo. Skills in computational neuroscience and data mining using
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to independently design, execute, and troubleshoot experiments Strong computational skills for processing complex cryo-EM datasets Enthusiasm and demonstrated ability to rapidly learn new techniques Prior training
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part of an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional