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Computational modelling of two-dimensional graphene-based materials School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Natalia Martsinovich Application Deadline
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accordance with the Immigration, Asylum and Nationality Act 2006. Full-Time, Fixed-Term (until 31 July 2026) Applications are invited for the post of Student & Programme Administration Officer in the School
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accordance with the Immigration, Asylum and Nationality Act 2006. Full-Time, Fixed-Term (End Date 31 July 2026) Applications are invited for the post of Senior Student & Programme Administration Officer in
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the Faculty. These fellowships are fixed-term for 5 years and serve as an excellent stepping stone toward establishing an independent research career and securing a full-time, permanent academic position. It is
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following the renowned "Work-Integrated University-Industry Collaborative Talent Training Model." We offer cutting-edge programs in high-demand fields: Digital Technologies, Computer Science, Logistics
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literate as we are a digital university. As a team we go beyond the traditional security boundaries, and as an individual you must be highly skilled and flexible to deal with this challenging and varied role
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focuses on the development and application of computational tools for large genomic datasets to address important questions in biology ranging from the genetic determinants of human disease, the origin and
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are seeking an experienced and highly motivated Programme Manager to join our Academic Programmes team at Saïd Business School. The team is responsible for delivering a seamless, high-quality student experience
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. The department has strong groups in a range of areas including algorithms, data science, machine learning and AI, mobile and distributed systems, secure systems, software engineering, computing education research
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Sustainability Assessment for Next-Generation Biorefineries.” The project aims to accelerate the design of sustainable biorefineries by leveraging computational biology and artificial intelligence to optimise