66 assistant-professor-computer-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Manchester Metropolitan University
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vibrant and rapidly expanding technology sector. About our Department: The Department of Computing and Mathematics is a successful academic community of students and staff committed to achieving high
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, including projects funded under the Horizon 2020 programme, the AHRC, the Wellcome Trust, or commissioned by national agencies, local councils, and charities. We are recruiting a Postdoctoral Research
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partners in co-designing and evaluating AI-enabled systems and contribute to research in Human-Computer Interaction (HCI) and Assistive Technology. This is an excellent opportunity for a motivated researcher
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perks, including discounted gym membership, travel benefits such as our cycle to work scheme, local and national discounts and our employee assistance programme To apply: Please provide your CV detailing
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Why join us Manchester Met is one of the UK's leading universities for sport and exercise science, and this role offers a unique opportunity to help showcase that reputation on a global stage. As
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to be part of a major NERC funding program and be part of the SUPERSLUG team involving researchers from the Universities of Plymouth, Exeter and Newcastle. The project seeks to reveal new fundamental
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they are developmentally. You'll work closely with colleagues and employer partners to create inclusive, high-quality opportunities and help students build confidence and skills through experiential learning – from
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Background: We are seeking to appoint a new Research Associate to join the research team of Professor Russell Harris in the Department of Engineering at the Manchester Metropolitan University
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speech recognition and meaning classification. You will help create a system that can detect live emotional content in the spoken (or sung) word, mapping this to visual animations based on sample banks
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. This cross-disciplinary centre will bring together academic expertise, technical specialists, and advanced computing capabilities to enable research at scale – from the processing of large, complex data sets