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. Candidates must have proven ability to work with large datasets, coding with Python/Fortran/C++ and ideally experience with high-performance computing. Applicants from an industry background are encouraged
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combining high-fidelity computational modelling with artificial intelligence to overcome key barriers in performance. The investigation will focus on optimising core gas exchange and combustion processes
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, and flavin-dependent halogenases, to selectively modify three high-value natural products: Plumbagin – A naphthoquinone with potent anticancer activity. Lithocholic acid – A bile acid with emerging
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assembly of foldamers often lack the mechanical properties required for their optimal performance as biomedical devices. Polymers have recently emerged as a promising class of materials for biomedical
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coherence and amplitude changes[3 ], but lacks spatial detail. This project aims to: fuse SAR’s cloud-independent indicators with ALDI’s high-precision outputs to deliver timely, reliable mapping. Objectives
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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invite applications for a limited number of fully funded PhD studentships at the School of Physics, Engineering and Computer Science of the University of Hertfordshire. This is an exciting opportunity
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levels of Cu, Mo, Ni & Sn. Direct comparisons will be made with experimentally identified phases from high throughput samples. Subsequent characterisation will be performed using a combination of scanning
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Background: The impact of diet on mental health and brain performance is a topic of growing focus and concern: diets rich in saturated fats have been associated with a significant risk for cognitive
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automation, and mission-critical communications. A key challenge in cell-free massive MIMO is maintaining high performance under dynamic channel conditions, hardware imperfections, and potential adversarial