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Field
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to: Design, formulate, and characterize biobased materials such as hydrogels, polymers, and composites for agricultural applications. Develop and optimize protocols for the encapsulation and controlled release
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, navigation and control, visual landing and event-based vision, scientific deep learning for physical systems, spiking neural networks for event-based systems. Building on this experience, the research line
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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
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numerical techniques to study collective states in active matter. Depending on the candidate's profile and interests, the research can involve various aspects of the modeling and the optimal control of active
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, including appropriate controls, statistical approaches, and methods to ensure reproducibility and scientific rigor. · Independently interpret experimental results, troubleshoot technical and
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, Antennas and Optical Networks, Systems and Control, Signal Processing and Biomedical Engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as
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Science, or a related field. In-depth research experience and solid expertise in one or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive
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Performance Optimization and Data Management. The position is based at the University of Chicago and Argonne National Laboratory, working with Dr. Katie Harrington and Prof. Jeff McMahon. The successful
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natural resource solutions, this role provides science-backed decision support to optimize forest management prioritization and climate adaptation strategies across vulnerable landscapes. Decisions
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, physical and chemical conversion strategies and engineering processes (b) understanding and controlling their underlying specific functionalities and the structure-properties relationship acting over