76 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "Medical Research Council" positions at Loughborough University
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to learn and develop your personal and professional skills. For informal enquires please contact Sarah Roberts, Furniture & Domestic Services Manager by email at: S.A.Roberts@lboro.ac.uk For more information
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to join a company that supplies geosynthetic materials and associated design services to the construction sector. You will be joining a company that is looking to develop and improve, through this KTP, its
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Higher Education options. This is delivered through a programme of in-person and virtual events, both in-school and on both our campuses. The Team are seeking a Student Recruitment Officer (SRO) who can
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forefront of supporting the digital campus, protecting and securing our IT systems, and developing strategies to take us forward in a rapidly evolving world. Whatever stage you are at in your career
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Advanced Assistive Visualization using XR (Augmented and Virtual Reality) Development This role will be recruited to either a Senior Research Associate or Research Associate depending on the pool
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to Dr Sara Reader, Graphic Design Programme Leader, via email to S.C.K.Reader@lboro.ac.uk The closing date for this is Tuesday 6th January 2026 at midnight. Interviews will be conducted week commencing
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. We need someone with exceptional interpersonal skills, self-confidence and who is a good listener. The role will have busy periods around events, and you must be able to plan your workload accordingly
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World-Class Environment for Performance Excellence Are you ready to lead the evolution of athlete support at the world’s leading sports university? Loughborough Sport is home to a globally unique
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, and development of the University's High-Performance Computing (HPC) and other Research HPC infrastructure. The University HPC systems are based upon Linux systems including high-performance storage
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candidate will: Develop genome-scale metabolic models (GEMs) for engineered microbial strains. Design and implement machine learning algorithms to predict strain performance and optimise metabolic pathways