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systems. These models will be part of a multicellular modelling and simulation framework being developed as part of the Australian Research Council's (ARC) Discovery Project "Bridging biological boundaries
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Approach ( https://vhrz669.hrz.uni-marburg.de/ssf/ ). Understanding the mechanisms controlling subsurface flow (SSF) and the conditions under which it occurs remains a major challenge in hydrology and
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, and TPV cells. The candidate will develop simulation tools (ray tracing and radiative transfer modeling) to study how cavity geometry, reflectivity, and emitter characteristics affect radiative flux
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facilitating group discussions and supporting diverse learners. Ability to model metacognitive and problem-solving strategies. Special Instructions to Applicant Please upload your resume and a copy of your
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research team members to ensure all project deliverables are met. Identify, simulate, and analyse ecosystem service models using GIS, remote sensing, and field data. Manage, process, and analyse ecological
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simulations); developing and maintaining tools for data processing, visualisation of results and automation of computational experiments; optimising code performance and supporting the integration of models
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biology approaches to simulate biological models at different time-scales in the context oft the development of the PhysiCell/PhysiBoSS modelling systems(Ponce-de-Leon et al., 2023). In particular, we
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on the development of technology for lunar and Martian regolith handling and beneficiation. · Develop and apply modelling and simulation approaches to particle separation systems. · Optimize the design
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is
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is of advantage: Knowledge of parallel programming and HPC architectures, including accelerators (e.g., GPUs) Experience in modelling and simulation, ideally in the field of energy systems Experience