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network (with campuses in France, Singapore, and Morocco) reinforce its position as a driver of business thought leadership in Europe and beyond. The LVMH chair at ESSEC is recruiting a Postdoctoral
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physiological acquisition systems; real-time data acquisition; motion capture or positional tracking; Bayesian or hierarchical modeling; reinforcement-learning models; effort-discounting or decision-making models
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, Bayesian optimization, or reinforcement learning. Experience with high-performance computing (HPC). Experience supervising students or junior researchers. What you will do As a postdoctoral researcher, you
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. Experience applying machine learning to networking problems, for example, reinforcement learning, graph neural networks, or uncertainty quantification. A track record of publications in leading networking
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. Experience applying machine learning to networking problems, for example, reinforcement learning, graph neural networks, or uncertainty quantification. A track record of publications in leading networking
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postgraduate research students). Applicants must hold a PhD (or equivalent qualification) in chemistry or a closely related subject, or be close to completion at the time of applying. Experience and expertise in
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non-market strategy. Faculty apply advanced quantitative and qualitative methods to generate systematic knowledge about business-government relations and international business relations. To learn more
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. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associates will be based at NYU Abu Dhabi and
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reinforcing your academic skills. Therefore, you will have the possibility to enroll at the Wageningen School of Social Sciences (WASS) . You can find more information on the WUR postdoc webpage . In addition
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, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associates will be based at NYU Abu Dhabi and will directly report to Prof. K.J.Kyriakopoulos, in close collaboration with other