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Computational Fluid Dynamics (CFD), fluid mechanics, and Artificial Intelligence (AI), with a particular focus on developing deep reinforcement learning methods for active flow control of hydraulic
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 7 hours ago
fluid dynamics and computational chemistry, to design, analyze, and predict the properties and performance of these materials. This area also requires experimental studies by providing insights from
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 7 hours ago
and fluid properties in the subsurface formations. Therefore, the objectives of this research project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision
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permeability, porosity), or fluid transport phenomena. Deep fundamental understanding of fluid transport mechanisms in tight/unconventional formations (diffusion, adsorption, Darcy vs. non-Darcy flow). Strong
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 9 hours ago
campus. This project focuses on understanding natural hydrogen generation and fluid flow within geothermal systems. It involves designing, building, and operating a specialized high-temperature, high
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) English (United States) MY PROFILE / LOGIN > More Search Options Loading... Clear Create Jobalert Apply now » City: Valley Date: Aug 22, 2026 Student Assistant / Master Thesis - Deep Learning
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Fachbereich Geowissenschaften - Institut für Geologische Wissenschaften Planetary Sciences, SFB 1759
objective is to experimentally and theoretically simulate the alteration and transformation of materials transported from Enceladus’ deep interior out to space, where the materials have been detected and
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experts who combine technical excellence with a deep understanding of sustainable development in shaping societies. Our research focuses on sustainable built environment, mechanics and materials