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fusion technology with a focus on advancing 2D and 3D simulation methodologies for plasma transport, heat transfer and particle exhaust in the reactor, potentially including interactions with the broader
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learning workflows, and developing complete models. Example applications include drug design, cryo-electron microscopy, structural prediction and dynamic simulation of biological macromolecules, genomics
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, progression, and treatment outcomes. Skills in applying causal inference, survival analysis, and longitudinal modelling to link clinical and biological data. Expertise in predictive modelling and AI
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
at Chapel Hill invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular simulations. This role will support innovative research at the intersection of Artificial
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engineering Engineering » Simulation engineering Researcher Profile Recognised Researcher (R2) Application Deadline 6 Apr 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not
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”) on the development of material flow analysis (MFA) methods and digital methods for spatial analysis. Specific tasks comprise: Design and apply digital models for analyzing and simulating circular futures
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properties with three-body tight-binding model for the periodic table" https://journals.aps.org/prmaterials/abstract/10.1103/PhysRevMaterials.7.044603 2) "Magnon-phonon hybridization in 2D antiferromagnet
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– BI_2 Portuguese version A call for tenders is now open for the attribution of one Research Scholarship within the scope of the Project “UrbanM2O - Effective Monitoring and Modelling solutions for data
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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning
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train 15 early-stage researchers to develop human-relevant neuroscience tools beyond animal models, advancing next-generation in vitro and in silico New Approach Methodologies for complex brain disorders