43 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" uni jobs at University of Greenwich in United Kingdom
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: Wednesday 15 April 2026 Interview Date: To be confirmed Reference: 5392 The Associate Professor (CPD HE Learning & Teaching) will contribute to the Student Success sub-strategy by coordinating and
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Closing Date: Thursday 26 February 2026 Reference: 5257 The University of Greenwich is seeking a committed Lecturer in Learning & Teaching to join Academic & Learning Enhancement (ALE), our central team
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for Engineering, Robotics and Automation, Computer Engineering, and Electrical and Electronics Engineering. The successful candidate will contribute across the School of Engineering but will play a leading role
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digital skills and learning enhancement to staff and students across the university. Our digital mission is to ensure everyone in our community is equipped to effectively use digital services, data and
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team plays a vital role in delivering high-quality administrative support for a wide range of teaching and learning activities. We work closely with programme and portfolio leads to ensure a smooth and
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students will be sustainability excellence in everything you do. We are seeking applicants with ambition, creativity and drive. You will learn quickly and deliver multiple innovative projects successfully
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and learning enhancement to staff and students across the university. Our digital mission is to ensure everyone in our community is equipped to effectively use digital services, data and technology with
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Engineering. The role’s main responsibilities will be working within the technical team to provide support for teaching and laboratory work, managing machine workshop, demonstrating to students, research and
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faculty Learning Technology team. This role is perfect for someone who is passionate about supporting education through technology and keen to make a meaningful contribution to teaching and learning. In
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the University. The successful candidate will be expected to teach across core areas such as network security, ethical hacking, digital forensics and cloud security, bringing current technical knowledge