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Field
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motivation to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control
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, aerial robotics, robotic manipulation, optimal control, robot learning, or human-robot interaction. Experience with developing planning, control, or coordination algorithms for robotic systems, preferably
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 6 hours ago
of basic and applied research Network with world-class scientists Exchange ideas and skills with the Laboratory community Use state-of-the-art equipment Contribute to answers for today's pressing scientific
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volumetric bioprinting to deposit functional layers inside the stent lumen, as well as computational simulations and perfusion bioreactor systems to optimize design and performance. The final goal is to
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systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph
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, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal
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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
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performance monitoring, calibration, and instrument benchmarking. Develop, optimize, and standardize experimental and imaging protocols, contributing to improved reproducibility and methodological rigor across
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research and innovation to support education and sustainable development, UM6P boasts a state-of-the-art campus and infrastructure. It has built a robust academic and research network and is committed
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network models. Of particular interest are candidates who have a background and/or interest in one or more of the following: optimization and optimal control (esp. optimal control of partial differential