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), sustainable, and climate-adaptive crops. By combining plant biology, simulation modelling, and artificial intelligence we aim to develop smart breeding and cultivation methods. Thus, we try to speed up
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://github.com/FZJ-IEK3-VSA/RESKit ). This framework currently uses historical weather data to model energy output and will be further developed to allow the simulation of renewable electricity production under
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
functional assays such as cytotoxicity assays, ELISPOT, ELISA and cytokine release assays. Design and execute experiments in mouse models and assess efficacy of therapeutics. Perform histological analysis
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reduces computational cost and enables large-scale reactor simulations, current porous approaches, based on Reynolds-averaged Navier-Stokes models, rely on empirical correlations and assumptions that may
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and corrosion Developing a validated solvent degradation Process simulations of absorption-based CO2 capture with different process designs and industrial cases Combine the solvent degradation model
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methods from information systems, such as qualitative interviews or simulation-based modeling to investigate questions at the individual and organizational levels Interest in financial applications
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methods from information systems, such as qualitative interviews or simulation-based modeling to investigate questions at the individual and organizational levels Interest in financial applications
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methods from information systems, such as qualitative interviews or simulation-based modeling to investigate questions at the individual and organizational levels Interest in financial applications
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digital twins, and life cycle assessment (LCA). A central component of the research will be the development of digital twins to simulate the entire production process, from raw materials to final product
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process is poorly recorded and needs improvement. Aims and Objectives In collaboration with the Health Innovation Partnership, a modelling pipeline will be devised to cope with the challenges of data