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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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. - Research Areas: Positions are focused around Deep Learning and Inverse Problem Regularization. Successful candidates will engage in diverse projects ranging from provincial to national levels, in
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simulations of PDEs, deep learning, neural networks. Our research interest: Our focus is on theoretical and computational biological physics, ranging from the study of molecules to cells. We strive to leverage
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of multiple robots to achieve common objectives in dynamic and prior-unknown environments, including kinodynamic-constrained motion planning, dynamic and kinematic decoupling and transfer/deep learning-based
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researchers in pursuit of advancing knowledge and making significant contributions to their respective fields. ESSENTIAL QUALIFICATIONS/EXPERIENCES PhD Graduation; Strong background in deep learning, machine