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behaviour and electrically tunable interfaces in 2D heterostructures. Methods include density functional theory (DFT), atomistic simulation, high-performance computing, and machine-learning-assisted materials
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concepts from nonlinear system identification, optimisation, computational complexity, and data-driven modelling, with the long-term objective of extending these ideas to modern AI and machine learning
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collaborative learning. The ideal candidate will demonstrate a commitment to excellence in teaching and research, the ability to embrace delivery in both blended and residential academic pathways, and strong
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catalysts used in chemical processes. The successful candidate will combine state-of-the-art quantum chemical modelling alongside machine learning techniques and contribute to the development of predictive
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Accredited programmes of learning are offered to full-time and part-time students, in line with the Institute Strategic Plan, and to meet the educational needs of students, thereby contributing to industrial
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improvements in computer chips slows down or ends, by pioneering modular integrated circuit-based (chiplet-based) semiconductor design and integration. With deep expertise in the areas of Heterogeneous
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innovation projects into SMEs across the border region. Essential Qualifications PhD in Electronic Engineering, Telecommunications, Computer Engineering or a related field or exceptionally, equivalent
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Learning, is seeking two motivated, collaborative and proactive Employability and Skill Development Coordinators. Reporting to the Experiential Learning Officer, the successful candidates will contribute
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of the programme. The University Tutor assists and supports students to further develop their understanding of key course topics and to draw out key learning points from course materials. University Tutor Scale
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to the continuous improvement of workflows and the development of services and collections that support the University's teaching, learning, research, and academic priorities. Appointed at Senior Library Assistant