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Field
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of navigating extremely large compositional spaces while simultaneously optimizing multiple target properties such as optical performance, stability, and sustainability. Who we are looking for We seek a highly
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in a sample Optimize and validate the performance of a MIP microscope setup in terms of sensitivity, spatial resolution and quantification through systematic experimentation and mathematical modelling
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Position Description Postdoctoral Scholar - 106045 Division: AM-Applied Mathematics and Computational Research Berkeley Lab’s Center for Advanced Mathematics for Energy Research Applications
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be to develop and implement optimal control solutions for this process. You will contribute to the development of a mock-up dynamic model of the complete system, building on models developed by project
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travel. You will answer it and optimized the system for maximum antimicrobial effect. This position brings microbiology into a group built on chemistry and biophysics, and it is the expertise we do not
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | 26 days ago
) Mathematics and Statistics (11 ) Physics (16 ) Science & Engineering-related (2 ) Social and Behavioral Sciences (29 ) Age: Must be 18 years of age Affirmation I certify at the time of application
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | 26 days ago
(17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (11 ) Physics (16 ) Science
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closely related field. Strong background in cybersecurity, AI, networked systems, at least one type of cyber-physical systems. Proficiency in mathematical modeling (Game Theory, Optimization, or Control
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robotics – reinforcement learning, whole-body model predictive control (MPC), and differentiable optimal control – to simulate human balance and step recovery in urban transport scenarios. The goal is a
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of infrastructure and technology systems for mathematical/computational modeling and control theory for life-cycle management optimization and policy of smart and sustainable infrastructure and environment systems