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experimental dataset on catalyst activity (TON, TOF) and selectivity will be used to develop predictive machine-learning models that enable accurate in silico identification of optimal catalyst–substrate
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manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical experiments. The candidate will be involved in supporting research efforts, primarily data collection and
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, Applied Mathematics, or a closely related field, with a strong background in AI/ML technologies, including algorithm development, optimization, and data-driven modeling. Candidates are expected
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/institutes and/or industry. Presently, our group consists of 1 Professor, 1 permanent researcher, 5 Postdocs and 9 PhD students. About the research project Your research will focus on the reproducible and
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science. It offers a novel perspective on understanding and managing uncertainty in large-scale infrastructure systems. For more details, see https://research.chalmers.se/en/project/12873 Who we are looking
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infrastructure is a minimum qualification to be hired and to continue to be employed in the position. Essential Duties and Responsibilities Microbubble Formulation: Design, fabricate, and optimize hemoglobin-based
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researchers will be appointed as assistant professor in tenure track for a period of 5 years, which in case of a positive evaluation is followed by an appointment as a tenured associate professor. https
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for the award of one Research Grant within the scope of the project “OUROMOVE - Ubiquitous and Robust Optimization for Fleet Operations and Rostering”, with nr. 17403 and operation code at the Funds
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as well as from by principal investigators from the medical faculty (https://www.bigs-drugs.uni-bonn.de/en/bigs-drugs-pi ). BIGS DrugS students work on their individual PhD research projects. In
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Posting Number R260058 Posting Link https://www.ubjobs.buffalo.edu/postings/61964 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting