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optimize machine learning (ML) and AI-driven climate risk models for the ClimateIQ project. This position will refine ML approaches to provide high resolution climate hazard information and improve decision
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to the laboratory state of the art optimization library. They will also be responsible for providing support for undergraduate robotics classes, office hours, and laboratory supervision. The successful candidate will
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. These projects entail computational modeling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical experiments. CENTMED offers multidisciplinary
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. The candidate is expected to carry out cutting-edge research on the physical layer design and optimization of RHS-enabled or RIS-assisted MIMO communication systems using tools from information theory
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· Setup of mini-microscope calcium-imaging and integrated electrophysiology laboratory for awake rat and mouse studies, including scope fabrication, electrode integration and optimization of laboratory best
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Post-Doctoral Associate in the Arabian Center for Climate and Environmental Sciences - Dr. John Burt
programs, as 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
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at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post
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insights 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
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photovoltaic (PV) and concentrated solar power (CSP) systems optimization, computational heat transfer and radiative transport using sophisticated numerical modeling and machine learning approaches for forward
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validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous computing where the focus will be to work on to the current efforts