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, computer science, or a closely related field by the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas
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, aerospace, or related fields in engineering A minimum of 5 years of experience Experience in computational mechanics, finite element method, isogeometric analysis, geometric modeling, machine learning, data
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cytometry. • Must have experience working with vertebrate animal models. • Experience with CRISPR and shRNA technology preferred. • Experience with R or Python and ability to analyze large datasets
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materials recovery,CO2 electrolysis and fuel cells. Experimental work will involve design, characterization, and degradation studies of model interfaces that can help elucidate their degradation mechanisms
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must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven materials discovery, machine learning applications for materials, or generative AI
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to recruiting high-quality academics and professionals to contribute to its dynamic, quality-driven research environment. Job Description The Energy4Water (E4W) at UM6P is seeking applications for two
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duration of 2.5 years. Department Overview: This fellowship will be housed in the Atomic Films Laboratory of Professor Elton Graugnard in the Boise State Micron School of Materials Science and Engineering
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knowledge of state-of-the-art principles and theories. 5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. 6. Adheres
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using real-time monitoring systems. Develop AI and machine learning models to integrate real-time monitoring data Collaborate with colleagues in computer science and computer engineering to integrate
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interdisciplinary teams that involve experimentalists and modelers Criteria of the candidates: PhD in Chemical/Mechanical Engineering, Applied Chemistry, Applied Mathematics, Physics, or related disciplines, with