30 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:" positions at Manchester Metropolitan University
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Programme Cycle to Work scheme Various other rewards and benefits. How To Apply: Your application must include a supporting statement which provides examples of how your experience and skills match each
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the agenda setters of the future. The Role The Illustration with Animation course is seeking a dynamic Senior Lecturer for our programme, to contribute to the teaching, educational innovation and future
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, including teaching and on programme assessment, of those they are assessing. ABOUT YOU You will have: • Excellent communication and organisational skills • Strong specialist knowledge in Creative Digital
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optimist who will inspire and engage our people? Now is a hugely exciting time to join Library and Cultural Services. We are embarking on an ambitious plan to reimagine our profile and portfolio, including
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innovative in teaching and we are recognised as the sector leader in Degree Apprenticeships where we deliver the award winning Digital and Technology Solutions programme in collaboration with a wide range of
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supervision from an experienced team spanning Manchester Met and Chester Zoo. You will benefit from a skills training programme through our Doctoral College, and will be based in the Faculty of Science and
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access to our employee assistance programme Join a supportive, ambitious PA community and make a meaningful contribution to the success of our University. Your organisational skills, attention to detail
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wider skills ecosystem. About the role Reporting directly to the Director of Apprenticeships, you will set the vision for business development and lead a multi‑disciplinary team covering new programme
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researchers in an iterative development cycle. You will use your programming skills and Unity experience to integrate AI models that detect and tag emotional meaning from audio and map these to steer real-time
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development cycle. Your AI programming skills will be utilised to train and fine tune two AI models, one able to detect and tag emotional meaning from audio, and one classifying emotion based on the spoken/sung