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, for instance, those based on processes of storytelling, creative writing, cognitive science, narrative theory, and/or theories of creativity. The successful candidate will conduct collaborative as
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writing, cognitive science, narrative theory, and/or theories of creativity. The successful candidate will conduct collaborative as well as their individual research within the Center for Digital
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theories to better understand and predict the role of fluid mixing as a driver for mineralization in porous media, a key knowledge gap for a wide range of environmental, engineering, and geological processes
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through innovative methods, theory and critical analysis. The fellowship period is 3 years. Starting date as soon as possible and upon individual agreement. An extension of the appointment by up to twelve
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responsibilities will include: Conduct Innovative Research: Lead research efforts in algebraic graph theory, focusing on perfect codes in Cayley graphs and related areas. Publish and Present Findings: Contribute
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data
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, numerical simulations, and reactive mixing theories to better understand and predict the role of fluid mixing as a driver for mineralization in porous media, a key knowledge gap for a wide range of
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 month 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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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 11 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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at the agent’s level. The project will bring together ideas from Statistics, Probability, Machine Learning, Statistics and Game Theory and is an ambitious 10M Euro project funded by ERC (UK component from the UKRI