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Field
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, and contribute to science communication and our open-source tools Your Profile Master and/or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, or a closely related field
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Qualifications for Project A To qualify for the fellowship, the candidate should hold a PhD degree, or a foreign degree that is deemed equivalent, in computational biology, biophysics, mathematical biology
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and optimize sulfur cathode materials and related host structures Perform physical, chemical, and structural characterization of battery material Fabricate and evaluate lithium–sulfur cells in coin-cell
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pressure-temperature measurements with advanced x-ray platforms. This includes working in optimizing applicaton of APS-Upgraded high brightness and high coherence beam across APS and at HPCAT and
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Conference in the metroplex. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience A PhD in engineering with an emphasis in real-time optimization (e.g., extremum seeking
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components. Work closely with a beam diagnostics physicist and controls group engineer to install and optimize diagnostic systems. Develop and integrate mmWave diagnostics equipment for beam position
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performance monitoring, calibration, and instrument benchmarking. Develop, optimize, and standardize experimental and imaging protocols, contributing to improved reproducibility and methodological rigor across
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appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research
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) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self
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, and strengthen national energy security. The Postdoctoral Appointee will contribute significantly to ongoing research efforts in resource valorization. Specifically, the candidate will optimize, and