833 computer-"https:"-"https:"-"https:"-"https:"-"CESBIO" positions at Nature Careers
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: € 5.014,30 (14 × a year, in addition we also offer an attractive career development program and an extensive range of social benefits) Target group §99 (5) positions offer academics with high potential and the
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year, in addition we also offer an attractive career development program and an extensive range of social benefits) Target group §99 (5) positions offer academics with high potential and the relevant
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
Job Description The Image Quantification and Artificial Intelligence (IQAI) Collaboratory is the technical engine of the Intelligent Imaging Informatics (I3) Section within the Department
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integrating clinical big data and artificial intelligence, the program aims to identify novel therapeutic targets and accelerate the translation of fundamental discoveries into personalized medical solutions
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research axes , as well as research programs in computational biology, addressing the challenges of biological process modeling and multi-scale data integration. Successful applicants are expected to secure
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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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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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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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) 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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, 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