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processors. Enabling safe, secure and real-time automotive functionalities in the RISC-V world, RIGOLETTO will establish the foundation for a next-generation Automotive Computing Platform based on the open
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applied machine learning projects in, e.g., computer vision, in close collaboration with industry partners. The position is not connected to an existing project, so the postdoc fellow will either join an
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, computational physics, statistical physics, non-equilibrium quantum many-body physics Ideally, experience with neural quantum states or other applications of machine learning methods in many-body physics
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. Qualifications requirements The applicant is required to have a PhD degree in Computer Science, Software Engineering, or related fields. The applicant must have completed the degree no more than three years before
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New York University Shanghai, Physics Position ID: New York University Shanghai -Physics -POSTDOC [#29455] Position Title: Position Location: Shanghai, Shanghai 200122, China [map ] Subject Area
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, emmva@dtu.dk . You can read more about the Department of Applied Mathematics and Computer Science at www.compute.dtu.dk and about the Section for Cybersecurity Engineering at www.compute.dtu.dk/sections
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`s degree and PhD in quantum physics, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and
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success in developing the technologies that took on acid rain in the 1970s and mercury in the early 2000s. Program Goals The NETL Postdoctoral Research Fellowship Program (Postdoc) is a high-intensity
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We