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About the Role A fantastic opportunity has arisen for a Senior Research Fellow to join the Power Electronics, Machines and Drives Research Institute (PEMC) at the University of Nottingham and become
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for Teaching, Learning and Students within the Faculty of Humanities. This senior academic leadership position is responsible for shaping, delivering and enhancing the Faculty’s priorities for teaching, learning
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programming skills. Expertise in developing computer vision and machine learning algorithms would be desirable, highly motivated and enthusiastic about advancing AI for societal impact. Qualifications A high
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provide invaluable care and support to over 7,500 people across the five London Boroughs of Bromley, Croydon, Lambeth, Lewisham and Southwark. Your new role Head of Professional Learning has a critical role
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machine learning and hardware assurance. The project’s interdisciplinary nature provides a strong foundation for careers in applied research, secure electronics, or further academic study, with real impact
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reasoning in Vampire, with the aim of enhancing its reasoning capabilities in math, including analysis, non-linear math and trigonometric functions. Machine learning for first-order theorem proving
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Physics based machine learning algorithm to assess the onset of amplitude modulation in wind turbine noise (with TNEI Group) EPSRC Centre for Doctoral Training in Sustainable Sound Futures PhD
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Accessible Tinnitus Notch Noise Therapy via Machine Learning, Acoustic Metamaterials and Additive Manufacturing (with NHS and TinnitusUK) EPSRC Centre for Doctoral Training in Sustainable Sound
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Requirements We are seeking enthusiastic, curious, and motivated individuals with: A strong academic background in computer science, artificial intelligence, machine learning, data science, engineering, or a
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Salary: £13,767 - £14,083 per annum pro rata of (£26,707 - £27,319) Contractual hours: 22.5 Basis: Part Time Package: Full details can be found here - https://www.ucb.ac.uk/about-us/work-for-us