93 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Manchester Metropolitan University in United Kingdom
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in the course of the disease would result in better outcomes for the patient. We are looking for candidates to research computer vision and artificial intelligence techniques to create an objective
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cloud infrastructure using Microsoft Azure and/or Amazon Web Services. Strong hands-on expertise with core cloud services across Microsoft Azure and AWS, including networking, storage, compute, security
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mentoring programmes, accessibility resources, and professional development opportunities to empower and support underrepresented groups. Manchester Met is a Disability Confident Leader and, under this scheme
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Apprenticeships where we deliver Bioscience and Chemical Science programmes in collaboration with a wide range of companies. The Department has a long track record of obtaining research council, EU, charity and
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during the recruitment process or in your role, please let us know so we can provide appropriate support. Our commitment to inclusivity includes mentoring programmes, accessibility resources, and
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beneficial. This role will work across a range of programmes to provide advice, guidance and support to apprentices. As a Skills Coach you will be part of a fast growing, highly motivated, proactive team
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The Faculty of Science and Engineering at Manchester Metropolitan University is dedicated to advancing sports science, engineering, computing, life and natural sciences through world-class research, education
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provide appropriate support. Our commitment to inclusivity includes mentoring programmes, accessibility resources, and professional development opportunities to empower and support underrepresented groups
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activity, reflect on your practice, and contribute to the ongoing development of programmes and the wider academic community. About you You will have: Strong subject knowledge in Engineering Product Design
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on understanding what is essential for multimodal learning when computation, memory, or energy are limited. Rather than scaling up models, the research aims to identify principled, lightweight methods