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experiences in at least one of the following areas: 1) advanced data analytics for performance prediction and risk analysis of transportation infrastructure; 2) network level optimization for transportation
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Postdoctoral position in fabrication of hollow-core optical fibers for next-generation communication
communication. The position is full-time for two years with a starting date of September 1st, 2025 or according to agreement. Project description The Internet is enabled by a network of silica fibers with a step
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publication record is encouraged and previous experience in areas such as Distributed control and optimization, Swarms, Autonomous Robots, Embedded systems development, Collaborative and adversarial control
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, presentation and mentoring skills, develop their professional network, and advance their career. This position is in line with the Department of Biological Sciences' mission to advance new discoveries across
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program aimed at tackling one of the life science industry’s biggest challenges: Closed-Loop Design and Optimization of Biologics. The research program will build on the recent advances in protein design
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part of the Dynamical Systems Section. We perform research within a broad range of areas within dynamical systems including modeling, optimization, forecasting, and controlling in both deterministic and
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teaching, as well as applied research and innovation. UM6P boasts state-of-the-art infrastructure and an extensive academic and research network, and is dedicated to economic and human development
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, and international networking. Entry requirements We are seeking 1-2 highly motivated postdoctoral fellows with the following qualifications: A PhD in molecular biology, cell biology, biochemistry, or a
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: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associate will be based at NYU Abu Dhabi and will directly report to Prof
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areas Biomedical applications, social determinants of health or other demographic health areas Spatial microsimulation, spatially weighted regression, combinatorial optimization or Bayesian network