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Field
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and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs
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guidance and robotics. Our work combines medical imaging, computer vision, and machine learning with strong clinical translation, in close collaboration with Balgrist University Hospital and the national
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computer science with excellent performance? You are a highly skilled Java programmer? You have good knowledge in programming with scripting languages? You have a strong background in distributed systems, Edge
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, FIFA, England & Wales Cricket Board, New Balance, Nike, UK Sport, Reebok, Speedo, and others, in the design, simulation, testing, and manufacturing of sporting goods. Our vision is to provide world
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intelligence. NCEI brings together leading robotics and AI groups with key partners from industry and the public sector to study how intelligence emerges from the interaction between body, computation, and
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 7 days ago
2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description NOTICE
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Job Description If you are passionate about stem cell biology and want to make a real difference for patients suffering from vision loss, this PhD position is for you. At DTU Health Tech, we offer a
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) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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autonomous systems (innovation in robotics), enhance sensor and software capabilities (innovation in computer science), and combine these to enable large-scale automated sampling to complement vision-based