134 web-programmer-developer-"https:"-"UCL"-"U"-"P"-"https:"-"https:" positions at Manchester Metropolitan University in United Kingdom
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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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predict the hair line. Design a classification algorithm to quantify the hair loss severity. Develop a mobile phone app as point of care for people with alopecia. Evaluate novel AI assessments using
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includes mentoring programmes, accessibility resources, and professional development opportunities to empower and support underrepresented groups. Manchester Met is a Disability Confident Leader and, under
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or in your role, please let us know so we can provide appropriate support. Our commitment to inclusivity includes mentoring programmes, accessibility resources, and professional development
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. Enthusiasm for developing creative, qualitative and participatory research skills. Ability to engage confidently with diverse communities. How to apply Interested applicants are encouraged to contact Dr. Kate
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-Allah and Dr David Sawtell, which has been developed through a Royal Society Research Grant and a proof-of-concept fund to further investigate new methods for improving the energy efficiency of the plasma
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commitment to inclusivity includes mentoring programmes, accessibility resources, and professional development opportunities to empower and support underrepresented groups. Manchester Met is a Disability
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into the organisation's sustainability strategy. What you’ll do: Scope and categorise additive manufacturing waste in F1 motorsport to inform target waste streams with recycling potential. Develop solutions for AM waste as
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methods to examine how neurodiverse mothers navigate workplace reintegration and how organisations can better support them. The Centre for Decent Work and Productivity is developing a reputation for
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of wind tunnel components in elite motorsport. This interdisciplinary project will develop a data-driven approach to understand and predict how process settings, build orientation, machine variability, and