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degree in statistics, computer science, data science or computational biology. Ideally, the applicant would have a background in both biology/biomedical sciences and statistics/data science. Applicants
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technologies. Key Duties and Responsibilities Design and conduct scientific and engineering experiments on plant-based materials for medical manufacturing. Evaluate biocompatibility, mechanical robustness
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, data science, or computational modelling and want to collaborate with industry experts, this opportunity is for you! Why Join Us? Work with a leading research team and industry specialists Gain
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the field of green computing focusing on quantifying and reducing the environmental impacts of computational science. The tools and frameworks developed and maintained by the group are used internationally
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Effects of wetland management on aquatic biodiversity and water quality of Sites of Special Scientific Interest on theSomerset Levels and Moors DoS: Dr Paul Lunt 2nd Supervisor: Dr Angela Milne 3rd
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, partial differential equations and scientific computing, to name a few. There are competing LC theories e.g., molecular-level models with molecular-level information, mean-field models that average
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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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at Cranfield which has a strong collaborative history with industry in the field of atmospheric icing science research. This programme provides the PhD candidate with an outstanding opportunity to work across a
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undertake ground-breaking research in the fields of impact engineering, shock- physics, and materials science, involving elements of both experimental and computational physics. You will be based at Begbroke
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Department: Materials Title: Predicting and Improving the Quality of Recycled Plastics Using Advanced Metrology and Data Science Application deadline: 29/04/2025 Research theme: "Materials