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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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Overview A Yorkshire Cancer Research funded Research Associate position is available in Dr. Kyra Campbell’s research group to work with our exciting models for studying metastatic cancer using
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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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focus on developing SRSF1-based gene therapy approaches in a C9orf72-ALS/FTD mouse model and patient-derived neurons. The successful candidate will have a robust track record of research experience in
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for low energy nuclear recoil signals for WIMP dark matter, and also contribute to the maintenance, operation and calibration of the experiment. Experience of estimation and modelling of backgrounds to low
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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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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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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 the application statement when you
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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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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