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multiscale model describing the response of chondrocytes to mechanical and biochemical stimuli. This model will integrate established subcellular signalling pathways that regulate switching between homeostatic
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., the Rhapsody framework) and to the group's broader efforts developing and disseminating open-source computational tools such as ProDy. About the Group The Bahar group develops and applies multiscale
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Requisition Id 16723 Overview: We are seeking a Postdoctoral Research Associate with expertise in artificial intelligence (AI) and machine learning (ML) for multiscale physical systems
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Microscopy - Analyze multiscale data to connect local atomic disorder with mesoscale degradation (e.g., particle fragmentation) - Collaborate with the group of Prof. Mathias Vandichel, University of Limerck
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. - Strong expertise in multiscale/multiphysics modeling relevant to catalysis, and experience with machine learning models. - Deep understanding of reaction kinetics, thermodynamics, and structure-reactivity
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development for brain-cerebrovascular system. The successful candidate will work on and contribute to ongoing research projects that solve problems related to the brain by developing multiscale/multiphysics
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responsibilities include: Perform global CGYRO simulations to investigate turbulence spreading and nonlocal transport effects. Conduct multiscale CGYRO simulations to study cross-scale interactions among ion- and
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 23 hours ago
will participate in conducting multiscale modeling such as quantum mechanics density functional theory calculations, molecular dynamics simulations, Monte Carlo simulations, and/or machine learning
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Requisition Id 16715 Overview: We are seeking a Postdoctoral Research Associate who will use multiscale modeling and simulation to develop probabilistic lifing frameworks for high-temperature alloys
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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy