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variability of accreting compact sources. Help supervise and mentor students working on related topics. Teach physics, if desired. Minimum Qualifications: PhD (or imminent defense) in Astrophysics, Physics
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information systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities and Machine Learning/AI on organisations from both
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-of-the-art in SLAM, situational awareness, computer vision, machine learning, robotics, and related fields Developing and implementing innovative solutions, validated through real datasets and experiments
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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers
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teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research and
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BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more about us at www.energy.dtu.dk . Technology for people DTU develops technology for people. With our
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students and PhD students. Applicants will have, or be close to completing a PhD in a relevant field and possess relevant experience, in the area of probability or statistical machine learning. They will
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focuses on translational research at the intersection of bioelectronics, healthcare-focused nanofabrication, and emerging applications of machine learning in radiology. Our team operates within a state-of
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Applicable Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: The applicant should have a PhD in biological/biomedical sciences, or an MD with
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of equipment acquisition, setup, maintenance, and operational training. Lecture Content Expansion Develop and update lecture materials for online courses. Create engaging multimedia learning assets (slides