43 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Manchester Metropolitan University
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, including teaching and on programme assessment, of those they are assessing. ABOUT YOU You will have: • Excellent communication and organisational skills • Strong specialist knowledge in Creative Digital
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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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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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: A highly professional soft facilities service, including cleaning, minor repairs and maintenance, reception and concierge functions, and Health, Safety and Compliance activities A proactive, customer
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access to our employee assistance programme Join a supportive, ambitious PA community and make a meaningful contribution to the success of our University. Your organisational skills, attention to detail
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the Library Transformation Programme, and build strong, collaborative relationships across the University and beyond, engaging widely to influence thinking, inform strategic direction and enhance the Libray and
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, chemists and computational experts pioneering research using an advanced, optogenetically controlled human-based nerve-muscle model. Using functional, molecular and metabolomics technologies, integrated with
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Cardiovascular disease remains the leading cause of death worldwide, highlighting the urgent need for rapid, cost-effective, and accurate diagnostic tools. Current methods for detecting cardiac biomarkers such as troponins, BNP, and CRP are often slow, expensive, and reliant on centralised...
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: Key skills: A good understanding of programming within the Unity games engine using C# and experience with VR application development. Essential skills and experience: A PhD in computer
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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