105 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Birmingham
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, academic staff and students to deliver the annual cycle of teaching and learning related activity. Main Duties Act as primary contact for academic staff involved in the Schools’ /Programmes’ learning and
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congestion are obvious and therefore the management of our car parking stock is key. The role of the Traffic Control Officer is crucial to the effective traffic and parking operations across the University
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-registration nursing and midwifery portfolios. You will join a team who are working to ensure our students continue to receive excellent clinical skills and simulation-based learning. The department offers a
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and students, and (b) developing and advising others on learning and teaching tasks and methods. You will be expected to advance teaching and learning practice in your modules within the school, take a
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: (a) providing expert advice to staff and students, and (b) developing and advising others on learning and teaching tasks and methods. You will be expected to advance teaching and learning practice in
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in participation to promote opportunities and share learning. Developing new ways of working with public contributors, which help embed principles and features of co-production. Main Duties Leading
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such as enquiry management systems. The post holder will have the confidence and ability to learn new packages as and when required. Ability to prioritise workloads in the face of conflicting demands, using
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. student databases/finance record systems/HR systems or equivalent, and an aptitude for learning new IT packages and systems. The ability to cope with change in a fast moving, dynamic environment where
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digital services, technology and data for the benefit of their learning, teaching, research or work. IT Services are building a culture of innovation, collaboration, openness, and inclusivity, and we apply
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, cooperative operation among connected electrified vehicles such as airport trailers, delivery pods, or urban mobility fleets. Using multi-agent systems, reinforcement learning, and digital-twin technologies