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, or reduced-order modeling techniques Familiarity with data-driven methods Background in chemical reactors, separation processes, or process systems engineering What you will do Develop grey-box models
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solutions for multiscale modelling and their application in various technology-related research activities. The DC4 research project, entitled “Nanochemistry of irradiated biomacromolecular systems”, will
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of Technology is host for a well-funded tenure-track Assistant Professor position in Data Driven Cell and Molecular Biology, in a vibrant, international, and outward-looking work environment located in the lively
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of accelerating discovery across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives. You will build methods for supervised
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contributions in one or more of the following key areas: computational modeling of chemical systems, AI-driven materials discovery/design, robotics for chemical synthesis, machine learning applications in
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of Technology, and partners from the Army and industry. ICB research is driven by more than 50 premier faculty working together with graduate students, project scientists, specialists, and professional
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and AVSD on classroom technology deployments, contributes to IT committees, and uses data-driven insights to improve operations and support the evolving needs of the University. 1.Lead and supervise a
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; environmental exposures and resilience to heat, flooding, and pollution in cities; geography of emerging diseases; health co-benefits from urban sustainability transitions; GIS, spatial modeling, and data-driven
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 8 days ago
Research Engineer (f/m/x) 102864 Full time 39 hrs./week Neuherberg near Munich Partial Home Office possible At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly
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Hospitality performance and revenue optimization Tourism analytics and predictive modeling Sustainable tourism and community engagement Technology, AI, and smart destinations Indianapolis provides a living