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About us The Centre for Learning Enhancement and Educational Development (LEED) leads Manchester Metropolitan's digitally enhanced education, academic development, and education innovation. Our
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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to the learning outcomes of an Honours degree in lieu of academic qualifications. Research proposal of 2000 words detailing aims, objectives, milestones and methodology of the project Equal Opportunities
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machine learning methods is desirable. Application Process You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application
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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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, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels
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an exciting next step, this role offers the opportunity to make a meaningful impact on teaching and learning at Queen Mary University of London. In this role, based within the Queen Mary Academy, you will play
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-edge projects in chemical biology and drug discovery and will underpin the development of state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) models with collaborators. You will
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higher education for our students to gain valuable practice learning experience onsite, to support local and regional NHS partners, and provide a data-rich research environment for our students, staff and
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in business, engineering, and computing. We are seeking outstanding academics to join us at Associate Professor or Professor level, to play a leading role in shaping and advancing our learning and