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structure, charge, and instrument parameters influence OrbiSIMS spectra. You should have a PhD degree in in computational chemistry, biophysics, molecular modelling, or a related field, and experience
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an exceptional opportunity to join a collaborative, multidisciplinary research program dedicated to advancing next-generation malaria vaccines while providing outstanding scientific mentorship and career
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About the role We are seeking to fill one position to undertake directed research activity as part of an EU project called FRAME (A Model-Based Foundry for Engineering, Adapting, and Assuring
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University of South Carolina’s School of Earth, Ocean and Environment and contribute to innovative computational research addressing important questions in ocean, coastal, and climate science. The successful
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 4 hours ago
operate laboratory instrumentation. Experience with programming, automation, or developing macros to streamline and improve measurement workflows is desirable. Familiarity with computational modeling tools
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. The position will involve developing computational models and simulation tools, analyzing experimental and operational data, formulating and solving optimization problems, evaluating technical and economic
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provable guarantees AI-based cybersecurity: applying learning and AI-assisted techniques to network security, e.g., automata learning from security logs, validation of protocol models, and verified defensive
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, and access to specific research training through the RHUL Researcher Development Programme. Applicants should have demonstrable research knowledge and experience in geochemistry, stratigraphy and the
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of computational scientists, applied mathematicians, and computer scientists to link models and algorithms with high-performance computing. Author peer reviewed papers for internal and external release as
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across specialties, linking clinical care and research; (2) supporting the development of predictive models for dental disease outcomes using structured and unstructured electronic health records; and (3