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Field
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The Advanced Photon Source (APS) (https://www.aps.anl.gov/ ) at Argonne National Laboratory (Lemont, Illinois, US (near Chicago)) invites applicants for a postdoctoral position to develop and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
development of methods for chiral analysis of amino acids using CE-MS, and optimization of limits of detection. This initial research will utilize a newly installed SCIEX CESI 8000 capillary electrophoresis
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University Abu Dhabi invites applicants to apply for the open Post-doctoral Associate position to perform primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control
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quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive
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candidate to work on the development and optimization of surface coatings for bioresorbable coils. The project aims to develop a bioresorbable metallic and/or polymeric coils for the embolization
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sustainable and optimized processes for vanadium extraction and purification, with the goal of enabling large-scale redox flow battery deployment for energy storage. Scope of Work The successful candidate will
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training an autonomous agent to ‘learn’ a control strategy. This formalism is similar to that of optimal control, with the difference that the agent does not have an explicit model of the dynamics
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of neuronal and vascular responses; Contributing to the instrumental development of the system (optimization of detection, illumination control, multi-camera synchronization); Analyzing and interpreting
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crops. Integrates data from advanced control systems and sensors (mass flow controllers, infrared gas analyzers, etc.) with software to optimize plant growth and development. Plans, directs, and executes
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following