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. The key responsibilities of this position include: Perform numerical simulation to solve fluid-solid-interaction problems Perform design optimization, especially AI-based generative design Master domain
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models to predict TCR-peptide/MHC (pMHC) interactions. Utilizing structural computational biology techniques to characterize and model TCR-pMHC interactions. Designing experiments to test and validate
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quantum phenomena in strongly correlated systems; Analytic or numerical methods of quantum many-body systems and non-equilibrium systems; Quantum field theory; Modeling and calculation of solid-state
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logic, mathematical physics, numerical analysis, neural networks, representation theory, and topology, with potential interdisciplinary applications. About Baylor University: Baylor University is located
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Undertaking analyses, critical evaluation and interpretations of historic bridge data, (both static and dynamic data) Expertise in finite element modelling of bridges Designing laboratory scale bridge
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application! We are looking for an junior expert in modelling of metabolic networks, with applications in neurology and cancer The position This position falls within the field of systems biology, i.e
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developing new inverse modelling (‘retrieval’) methods to extract 3D information from JWST secondary eclipse observations. The models will be applied to JWST observations of giant transiting exoplanets
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, numerical modelling, experiments and theory act in concert. The center includes the Oslo-branch of PoreLab, which is a Center of Excellence (CoE), the former CoE, Physics of Geological Processes (PGP) and
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and international academic researchers, research assistant(s) and research students to develop a unified computational model of how humans use automated advice. Undertake independent and collaborative
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diffusion models using path integral formulations. This project aims to advance quantum machine learning by: Designing a quantum counterpart of diffusion models; Leveraging path integral methods to model