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Job DescriptionPosition: Postdoctoral FellowTopic: Reinforcement Learning for Vortical Flow Control and Sensing. Requirements: 1) Age under 35. 2) Ph.D. degree (obtained or about to obtain) in
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Job DescriptionPosition: Postdoctoral FellowTopic: Reinforcement Learning for Vortical Flow Control and Sensing. Requirements: 1) Age under 35. 2) Ph.D. degree (obtained or about to obtain) in
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, -- mathematical theory for artificial intelligence, -- optimization and numerical computation over manifold, -- systems and control theory, -- algebraic computation theory and cryptography. The position is for two
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control protocols, and hybrid quantum-classical algorithms. o Modeling and benchmarking atomic qubit architectures. · Collaboration: Work closely with experimentalists to design and optimize protocols
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corresponding prompts, enabling it to automatically label and analyze images based on the provided textual information. This approach has the potential to revolutionize the field of medical image analysis by
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improvement of the XENONnT experiment's slow control system, as well as in conducting searches for solar neutrinos and/or light dark matter. In addition to these core responsibilities, the candidate will have
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communication skills, and be able to work collaboratively. An excellent command of written and spoken English is required. Experience in teaching (in English) is a plus. Interested applicants should submit