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integrates computational modelling, theoretical physical organic chemistry and electronic structure theory to advance our understanding of chemical reactivity. We aim to develop new concepts and computational
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system. Projects involve MOF synthesis, method development, in vitro culture of viral, fungan, and bactrerial pathogens, and screening of new MOF syntheses to develop novel MOF formulations. We are looking
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catalysis, C–H functionalization, and the development of novel transition metal-catalyzed methods for synthesis of important aliphatic, carbo- and heterocyclic molecules. Minimum Education and Experience Ph.D
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chemistry and molecular biology techniques is a plus but not required. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience Ph.D. degree in Chemistry or related field
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other related fields (e.g., Neuroscience, Cognitive Science, Engineering and Psychology) are welcome to apply. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience
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possibility of teaching one course in the spring semester of 2025. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience Applicants must have Ph.D. in hand at the time of
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responsible for the evaluation and interpretation of research data, for planning and executing the details of experiments according to research protocol. This position will work with Dr. Kate Sadler to develop
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at the University of Texas at Dallas. The Bleris Laboratory focuses on a range of research problems at the intersection of systems, synthetic biology, and genome editing. Minimum Education and Experience Ph.D in a
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sports and entertainment in a temperate climate. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience Ph.D. in Cognitive Science, Neuroscience, Psychology
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. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience Preferred Education and Experience 3-5 years of research experience in human molecular pain models with