1,272 computer-science-intern-"https:"-"https:"-"https:"-"https:" positions at Nature Careers
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maintaining all regulatory requirements and adherence to the quality management program. The position is on-site, Monday - Friday, primarily day shift (10:00 AM - 6:30 PM) with flexibility in working schedule
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Tenure-track faculty positions in metabolism, immunology and chemical biology at the Genomics Research Center, Academia Sinica, Taipei, Taiwan, ROC The Genomics Research Center (GRC; https
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, epidemiology, biostatistics, statistics, computer science, machine learning, or another related statistical or computational discipline Creative, thoughtful, and a communicative collaborator Familiarity with
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neuroscience. This is a unique opportunity to translate our understanding of neural computation - from circuit-level mechanisms to computational principles - into the human brain, through the establishment
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analysis Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within an experimental team, with direct availability of experimental
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Description We are seeking a motivated new PhD candidate or Postdoctoral fellow who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between
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teaching programmes in medicine, life sciences, nursing, radiography and midwifery. Research at the department integrates basic and translational, molecular and computational approaches with a focus on
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science institute where international researchers and cutting-edge technologies converge to accelerate biomedical discovery. Our mission is to transform bold scientific ideas into advances that improve
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the MPG. You will lead a high-performing team in a world-class international environment, supported by in-house engineering, high-performance computing, and the services provided by the Max Planck Society
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experimental and theoretical groups with complementary expertise in model organism genetics and cellular phenotyping, single-cell genomics, statistics, and computational biology. Building on our combined