20 algorithm-development-"Multiple"-"Simons-Foundation"-"Embry-Riddle-Aeronautical-University" "Prof" Postdoctoral positions in Japan
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technology and develop human resources. The AI Computing Team explores the design and realization method of advanced machine learning systems by working across multiple layers, including circuits, devices
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; identification of novel phases of matter through machine learning; and the development of new algorithms for the simulation of quantum matter. Applications from strong candidates with complementary interests
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Graduate University 1919-1, Onna, Onna-son, Okinawa 904-0495, Japan Submission Documents: - Cover letter in English that discusses connection with Prof. Ugur Abdulla’s research - Curriculum vitae in English
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simultaneous recording of brain activity from two or more individuals. The successful candidate will work on developing experimental paradigms that model real-world social interactions, with a particular focus
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, develop techniques for quantum control and measurement, build quantum computing hardware and software, and explore novel applications. We promote basic research on quantum information science and contribute
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mechanics and quantum information, develop techniques for quantum control and measurement, build quantum computing hardware and software, and explore novel applications. We promote basic research on quantum
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of biomolecules, it is crucial to grasp their structural dynamics. We aim to develop methods for designing biomolecules, such as membrane proteins and peptides, with controllable conformational dynamics through a
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, invites highly motivated and qualified candidates to apply for a Research Associate position focusing on the development of the Cherenkov detector modules for the IceCube-Gen2 neutrino observatory
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send an email to Prof Wakatsuchi (wakatsuchi.hiroki@nitech.ac.jp ) together with your detailed CV, including the full list of publications and contact information of at least one referee (a few would be
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ECL Research Unit, established in November 2024, conducts research on the development and application of new mathematical and statistical techniques that leverage rapidly growing genomes, ancient and