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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 3 hours ago
, Health Promotion, Public Health or closely related areas with an interest working with urban communities by start date • Excellent communication and writing skills • Analytic programming/coding skills
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of the research topic’s relevance to educational issues, the specific problems to be studied, the choice of scientific theory and method, and the proposed implementation plan for the stud. It is important that
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therapies to the clinic for glial cancers. Duties include*: Plan approach to experiments in support of research projects in lab and/or field based on knowledge of scientific theory. Independently conduct
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to improve our research, and (ii) exemplary passion and motivation to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include
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the goal to enhance predictive capability and scalability of multi-scale and multi-physics simulation codes. The prospective postdoctoral appointee will perform multi-physics and multi-scale CFD simulations
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in combinatorics, operator theory and operator algebra, and computational mathematics. The goal posed by the School of Mathematical Sciences is to build an active and strong international mathematical
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activity patterns being associated with movements and others not. By using our novel techniques, that can drive precise patterns of activity distributed across many neurons, we can test different theories
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Application letter. Please state your motivation and research interests. A tentative project proposal (5-10 pages). The proposal must include the topic, relevant theory and methods and timeline. The proposal
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teaching. A tentative project proposal (5-10 pages). The proposal must include the topic, relevant theory and methods and timeline. The proposal should include an explicit account of how the project
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technological progress in our increasingly digital, data-driven world. Researchers in Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By