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between objects. A common way to represent a graph is to use the adjacency matrix associated with the graph. However, adjacency matrices only model networks with one kind of objects or relations between
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management. This project mainly focuses on the analysis and optimal control of the underlying SPDE and the associated numerical implementation. As a simplified model for the underlying phenomena, we are going
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” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a
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Expected Start Date: October 2025 Job Description We are seeking a highly motivated postdoctoral researcher with expertise in vanadium and rare-earth element (REE) recovery, thermodynamic modeling
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sensor data, with applications in disease modeling and the development of material science-based innovations. These efforts aim to optimize system performance and uncover novel biological insights in close
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. - Strong proficiency in machine learning, optimization algorithms, and computational modeling applied to construction systems. - Experience with designing and conducting experimental studies to evaluate
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 5 hours ago
conditions is essential for designing more efficient TPS solutions (i.e., selecting optimal material systems, reducing design margins). Instrumentation, such as in-depth thermocouples and heat flux gauges, is
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
and models of the biochemical processes and production system to feedback to the researchers how to improve the processes while optimizing the production system, and showing venture capitalists how
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and models of the biochemical processes and production system to feedback to the researchers how to improve the processes while optimizing the production system, and showing venture capitalists how
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forefront of hydrogen technologies and their integration to the energy systems. The successful candidate will hold a PhD degree (or close to completion) in Mechanical/Electrical Engineering or related subject