782 computer-"https:"-"https:"-"https:"-"https:"-"CEA-Saclay" positions at Nature Careers
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of technology which integrates robotics, computer vision, and data infrastructure to enable scalable, reproducible and data rich transformation platforms, supporting the team with subject matter expertise
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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
wet-lab or computational focus to decode microbial balance in a highly collaborative and multidisciplinary research network a comprehensive mentoring program with supervision by a team of advisors top
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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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decisionmaking modules that must operate under strict constraints on latency, compute, energy, and reliability. In many robotic platforms (mobile robots, drones, autonomous vehicles, ...), inference must execute
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, plant transformation, plant breeding, computer vision assisted automated phenotyping, machine learning and AI. The role will require working with other institutional stakeholders to scope, design, equip
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of experience in a business-facing Program Management role, with substantial consulting leadership & program implementation experience. Demonstrated experience managing/ overseeing/ leading multiple/large/complex
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Joint Univers. Professorship for “Sustainable polymer matrix composites at TU Hamburg” combined with
, property optimization, and aging-driven interfacial degradation. The aim of the research program is to devise materials innovations that support the transition from single-use high-performance PMCs
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institutional policies, regulatory requirements, and the Blood Donor Center Quality Program, while contributing to quality improvement initiatives and translational /basic research activities. Position will work
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, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics
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backgrounds span computer science, engineering, applied math, biophysics and biology, to advance the frontiers of single-molecule research while also implementing focused strategies to work with non-experts