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, cardiovascular, and neurologic disease. These projects entail computational modeling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical
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, cardiovascular, and neurologic disease. These projects entail computational modeling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical
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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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for radioecology experiments and optimization of techniques for low-activity-radionuclide measurements, Investigation of radioisotope uptake mechanisms for local plants and seasonal vegetable plants, Development
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power (CSP) systems optimization, computational heat transfer and radiative transport using sophisticated numerical modeling and machine learning approaches for forward and inverse problems in radiation
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of substitution models using large dataset, successful applicants must then have a PhD and demonstrated experience in discrete choice models, machine learning techniques, big data, and optimization
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agricultural practices, Consolidation of experimental protocols for radioecology experiments and optimization of techniques for low-activity-radionuclide measurements, Investigation of radioisotope uptake
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in innovative research that includes: Geometric Control Algorithms: Develop and refine control strategies utilizing differential geometric methods, particularly Riemannian manifolds, to optimize robot
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into the hydration and carbonation reaction pathways of RMC, the Postdoctoral Associate will lead efforts to enhance the performance of EMCs, focusing on the optimization of phase formation, mechanical properties, and
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well as ‘control’ corals. Th position will involve working on fragments and on sexually-produced larvae/spat, and conducting experiments to determine optimal conditions for survival/performance in lab (short- to mid