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of Sheffield and Nottingham, and the Alan Turing Institute. The wider focus of this research programme is to develop both physics-based and data-driven models of heart function and blood flow through
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models of the additive manufacturing process. Surrogate models to accelerate virtual material testing and verification will be developed to allow the generation of property distributions from process
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malignant precancerous lesions in the mouth. To facilitate the machine learning model building, the virtual oral tissue models will be developed based on knowledge derived from tissue-engineered constructs
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are working to set up a new,human challenge model ofStaphylococcus aureus skin infection. This model will be used to study the early interactions between the human immune system and invading bacteria. From
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of advanced hardware architectures. The continuing evolution of computing hardware has led to enormously complex architectures with execution models that integrate advanced memory technologies and hardware
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to chemo/radio-therapy and therapeutic/preclinical DDR inhibitors within a cohort of matched GSC heterogeneity models within the Sheffield Living Biobank of patient-derived primary glioma stem cell-like (GSC
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rig. Collaborate closely with industrial and academic supervisors to embed modelling capabilities in C&W. Train company staff in the use of simulation tools and performance-informed design methodologies
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Eissa Application Deadline: Applications accepted all year round Details Artificial Intelligence (AI) is transforming healthcare by enabling data-driven decision-making and predictive modelling. Engineers
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. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in
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Overview We have an outstanding opportunity to make an impact in modelling of particulate processes for the pharmaceutical industry. We aim to create models for powder-based manufacturing