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. The precise research topic(s) will be discussed with the successful candidate depending on their background, expertise and affinities. Analysis and publication of results Build a strong network in the field
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looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot Interaction
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of sensorimotor processing. We are recruiting two postdocs: Postdoc in Computer Vision & AI for Behavior Analysis Postdoc in Embodied AI (Reinforcement Learning for Motor Control) Main duties and responsibilities
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with national and international teams of mathematicians and computer scientists PhD applicants must possess a Master's degree in mathematics, theoretical physics, computer science, or a related field
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details of two reference persons. Please submit these exclusively via our job portal. Applications by e-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa
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to expand your network and gain valuable experience in academic leadership and project development Working, teaching and research at ETH Zurich We value diversity and sustainabilityIn line with our values
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Fribourg campus, with access to EPFL facilities and research infrastructure in both Fribourg and Lausanne. Additional information For more information about HOBEL: https://www.epfl.ch/labs/hobel/ For more
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active network of world-class international collaborations, including: The Institute of Cancer Research (ICR), London, UK — a global leader in cancer genomics and therapy The Paul Scherrer Institute (PSI
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deposition infrastructure Opportunities for professional growth and networking Competitive salary and benefits package The contract duration is initially for two years with the possibility of extension and a
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their conception to their implementation Excellent working conditions and an internationally competitive salary Support for attending international conferences and workshops An extensive international network