92 web-programmer-developer-"https:"-"UCL"-"U"-"https:"-"https:"-"https:" positions at Manchester Metropolitan University
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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities
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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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appropriate support. Our commitment to inclusivity includes mentoring programmes, accessibility resources, and professional development opportunities to empower and support underrepresented groups. Manchester
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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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applicants with the opportunity to undertake an original multi-disciplinary impactful programme of applied research by working with heart failure patients, their clinical carers, and academic researchers. Core
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Met’s Doctoral College community, benefiting from specialist training, collaboration opportunities, and professional development. This is an exciting opportunity for a motivated researcher passionate
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analytical techniques (including UPLC-ESI-HRQToFMS and GC-APCI-qqqMS) to develop and optimise methods for a diverse range of ultrashort PFAS. Once developed, you will apply these tools to measuring PFAS in
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, you'll help shape our future technical strategy—keeping our services adaptable, aligned to university priorities, and responsive to sector developments. You'll also represent Manchester Met in external
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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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accessible AI. Project aims and objectives The aim of this PhD project is to develop principled and efficient methods for multimodal learning under resource constraints. The research seeks to understand how