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Field
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AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic
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marginalising others, and how these processes contribute to educational inequities. Combining perspectives from educational studies, anthropology, embodiment studies, and critical disability studies, the project
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, Psychology, Human Factors, Human-Computer Interaction, Statistics Data Science, or a related discipline is required. The candidate must have experience conducting and publishing research in one or more areas
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and implement experiential and data-informed learning methodologies, including simulations, venture creation frameworks, and multi-agent learning environments involving entrepreneurs, investors, and
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neighbourhoods in Barcelona. Developing and conducting a discrete choice experiment (or related choice modelling approach) to identify behavioural preferences and mobility decision-making processes. Simulating
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 7 hours ago
you for multiple applications in Zintellect, they must click the unique link in each email request, but will be given the opportunity to copy over what they had previously submitted. All documents must
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characterization of polymers to maximize material performance but also close collaboration with multidisciplinary teams to scale up manufacturing processes for high-performance fibers. A key aspect involves
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of academic success for a Post-Doctoral Associate position. The research will focus on the development and use of machine learning and advanced molecular dynamics techniques for molecular simulations and to
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to join as soon as possible. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical
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researchers to join as soon as possible. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical