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interpretable autonomous experimentation systems remains a major research challenge. The successful candidate will develop reinforcement-learning and decision-making algorithms for autonomous laboratory platforms
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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 2 days ago
research and design, and develop, assess, and attack cryptographic algorithms and protocols. We’re looking for passionate people from a variety of backgrounds who: • have a blend of math and coding skills
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. Responsibilities include (but not limited to): Lead the development of the NC-ARPES technique (hardware, post-processing algorithm, theory, data interpretation) Propose and perform new TR-ARPES studies of quantum
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