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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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The candidate should preferably have a PhD in Computer Science or Robotics with a solid background on deep learning and 3D scene understanding. Experience with LiDAR and Computer Vision is a plus. The candidate
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description 3-year funded PhD position to be supervised by Tarryn Balsdon in the Vision team
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Methods in Computer Vision, 2023. [4] S. Y, J. Sohl-Dickstein, D. Kingma, A. Kumar, S. Ermon, and B. Poole, “Score-based generative modeling through stochastic differential equations,” 2021. [5] H. Chung, J
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fields for several applications in the field of computer vision and inverse problem [SLX+21]. As far as the modeling of data term between distributions is concerned, one idea would be also to follow
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the internal team on advanced spintronic applications. • Monitor emerging trends in MRAM, magnetic sensors, and neuromorphic computing to guide innovation. • File patents and help build Spin-Ion’s intellectual
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SLICES-FR research infrastructure- Communicate results through presentations, conference papers, and project reportsProfile and skillsThe R&D Engineer must already hold a PhD degree in Computer
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to obtain funding for PhD students. In parallel, applications to FRM and/or Pasteur-MD-PhD-PPU program will be also encouraged. Opportunities for Interdisciplinary Training: Depending on the candidate’s
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(FSTM) 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
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psychoacoustics to computational neuroscience to create a genuinely interdisciplinary research environment. The Institute is located nearby the Vision Institute , thereby creating a center for system and sensory