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Field
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Python are required. Experience with control and optimization of power generation systems (e.g., wind power) is desirable but not required. Some experience with real-time control hardware is desirable but
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molecular biology, functional genomics, and drug-discovery approaches to identify pathways that control keratinocyte stress responses and to evaluate potential therapeutic modifiers of epithelial dysfunction
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on environmental samples, incorporating appropriate controls to manage inhibition and contamination. • Apply and optimize molecular detection methods (e.g., qPCR, digital PCR, sequencing) and interpret the results
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on the foundation established by previous members of the laboratory, the project aims to uncover the molecular mechanisms that coordinate SUMO and ubiquitin signaling to control protein stability and chromatin
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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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Conduct research in high harmonic generation, ultrafast XUV science and related applications. Develop and optimize HHG sources, diagnostics and experimental methods, with emphasis on photon flux, stability
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to investigate the neural mechanisms underlying motor learning and motor memory in mice. Establish and optimize all-optical two-photon neurophysiology and optogenetic approaches to examine motor cortical
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, characterizing mass transfer and selectivity under flow conditions, and screening and tuning DES compositions to optimize solubility, speciation, and electrochemical accessibility for target elements
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2 — additional desirable expertise: reinforcement learning, imitation learning, optimal control, dynamical systems, or related ML areas; experience with physics simulators (MuJoCo). Familiarity with
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to additive manufacturing (AM), virtual manufacturing, material characterization, topology optimization, and real-time sensing. This position resides in the Computational Sciences and Engineering Division (CSED