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the Teaching and Learning IT Team, overseeing software deployment and system administration for computer labs and BYOD environments in E3LF, and secondarily across campus and remotely. They will manage and
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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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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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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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, highly motivated individual with excellent organisational and computer skills. Exceptional social skills, including an ability to communicate with stakeholders across a diverse setting, are essential. As
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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