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—to macroscopic, population-level observables in rapidly evolving pathogens such as SARS-CoV-2 and influenza. Concretely, you will: formulate and analyze stochastic models of evolving populations using methods from
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applications. The project integrates: Computational Fluid Dynamics (CFD) and multiphase flow modeling Radiative heat transfer Machine learning and reduced-order modeling Data-driven optimization for industrial
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models and project standards. You will develop a coherent, structured approach to prioritisation and build a delivery capability that accelerates outcomes for Manchester’s researchers, improves consistency
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to develop an aeromedical dispatch management software as a technology hub that provides data-driven prediction model and an automated dynamic decision model. The successful candidate will be responsible
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lung tumors. We utilize a multifaceted approach that encompasses preclinical studies in immunocompetent syngeneic and genetically engineered co-mutational models of KRAS-mutant NSCLC as well as PDX/CDXs
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experience and a strong interest in shaping the future of computation-driven design and multiphysical modelling. Subject Solid mechanics Subject description The position includes research and doctoral
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AI-driven learning technologies on learning outcomes, cognitive development, and mental health. Details: The ideal candidate will have methodological expertise in one of the following areas: multimodal
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, electromagnetic interference, or injected faults, can affect the behaviour of power electronic systems. Developing data-driven models that capture how disturbances propagate through the system and may lead to
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exciting phase of its development as part of its strategic priorities for the next ten years. Adopting a new higher education model based on the concept of Syntegrative Education (SE), XJTLU is currently
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Are you a researcher driven to understand and predict the fundamental mechanisms limiting lithium-ion battery performance? We are recruiting a Research Associate in Lithium-Ion Battery Modelling