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agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.10.2032 Reference no.: 6158 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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IRCM - Cancer Research Institute of Montpellier | Montpellier, Languedoc Roussillon | France | 3 months ago
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description 🔬 Project Overview The PINKCC Lab develops deep learning, data
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. Learning Objectives: Under the guidance of a mentor, you will have opportunities to: Advance science communication skills through preparation of scientific manuscripts and presentation of research results
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collaborates with leading tech firms and advance research in robotics, AI, battery technology, aerospace, water systems and sustainable energy. Learn more at unr.edu/engineering Exempt Yes Full-Time Equivalent
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, battery technology, aerospace, water systems and sustainable energy. Learn more at unr.edu/engineering Exempt Yes Full-Time Equivalent 100.0% Required Attachment(s) Please note, once you submit your
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The Center for Thermal Spray Research to learn more about our department/research. * Within the predetermined research scope and methodology, conduct research experiments in the field of thermal spray and
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University Community We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy
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Summary: Duke University is a world-renowned research institution. Currently, we are looking for a Postdoctoral Associate with expertise in deep learning to participate in a research program focused on
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-scale human datasets. You will: - Build and apply machine learning and deep learning models to multi-scale (cells, brains, patients), multi-modal (omics, biosensor data, vision, electronic health data