1,274 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"Univ" positions at Nature Careers
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from project steering efforts. Qualifications MINIMUM QUALIFICATIONS: A PhD and/or MD degree in biomedical sciences, epidemiology, biostatistics, statistics, computer science, machine learning
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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
or PhD (or equivalent) in Natural or Life Sciences (e.g., Biology, Chemistry, Bioinformatics, Geosciences, Biomedical Sciences, Biotechnology, etc.). Candidates about to obtain their degree are welcome
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of artificial intelligence (AI) and biomedical engineering. Research directions include deep learning, natural language processing, brain–computer interfaces, and their applications in disease prediction, drug
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Graduate School of Biomedical Sciences. This role involves providing strategic direction, managing administrative functions, supporting faculty and student development, and enhancing the overall
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The Fred Hutchinson Cancer Center (Fred Hutch) is recruiting a full-time faculty member at the Assistant, Associate, or Full Professor level to join Fred Hutch’s Cancer Survivorship Program and help
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at international conferences. You hold a PhD in computational biology/chemistry, machine learning or a related quantitative field. You have a solid publication record and demonstrated experience with advanced
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, Artificial Intelligence, Computer Science & Technology Humanities & Social Sciences: Economics, Management, Philosophy, Design Why Join FAFU? ✓ Competitive salary + negotiable start-up package ✓ State
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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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Faculty Position — Research Scientist in Cardiology, Cardiac Regeneration and Translational Cardiova
complementary and symbiotic research program in cardiac regeneration, cardio-oncology, or related translational cardiovascular science areas that align with our department's strategic vision and existing research
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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