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. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection
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. The work involves the development of electromagnetic models, numerical simulations, prototype realization, and measurements, as well as dissemination of research results through leading international
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candidates in Science of Readingaligned instruction. Supervise and evaluate preservice teachers in field placements. Collaborate with regional school partners to ensure high-quality clinical preparation Model
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intercellular signalling in developing embryos allows them to self-organize into complex structures. Our approach is to develop sophisticated mathematical models – informed by state-of-the-art biological
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Number: REQ209217 Job Description: Brownâ™s Division of Biology and Medicine â“ composed of The Warren Alpert Medical School and the Program in Biology â“ is home to numerous centers of excellence in
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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research
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vehicles. Using numerical simulations, experiments, and system-level analysis, we study the interactions between airflow, heat transfer, and vehicle components to develop methods and technologies for next
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special
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material systems knowledge of numerical methods used in materials modeling (e.g., finite difference methods, finite element methods) ability to perform computer simulations of liquids and liquid crystals
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systems, computational mathematics, data science, difference equations, financial mathematics, mathematical biology and modeling, numerical analysis, numerical linear algebra, applied probability/statistics