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Field
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Laboratory seeks a postdoctoral appointee to join a multidisciplinary team developing complex systems models, including agent-based models, and new algorithms and tools for machine learning and optimization
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, and method development skills on protein extraction optimization, fractionation, purification, characterization, binding properties, modification, and application in food systems. Also a sloid knowledge
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related field in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in
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inverter-based resources; develop innovative optimization platforms to address the challenges and resolutions of operating a future grid; and have a passion to explore the future modern power grids in terms
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in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in programming (e.g
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Internal Number: JR89988 Position Summary This position will primarily support the implementation of a newly funded National Institute of Mental Health R01 grant focused on optimizing a digital chatbot
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on mixture optimization and performance evaluation. Coordinate the use and maintenance of project-related equipment and materials in collaboration with laboratory managers in the CCEE department. Perform data
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related field in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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upgraded hadron calorimeter, trigger system optimization, and improvement of particle flow reconstruction. We are currently engaged in measurements involving the top quark, searches for rare Higgs boson