287 algorithm-development-"Multiple"-"Prof"-"Prof"-"St"-"Simons-Foundation" positions at University of London in United Kingdom
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to providing an outstanding level of customer service. Exceptional attention to detail and excellent time management skills. Skilled in handling a busy workload, prioritising multiple deadlines, and
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– a £43.6M national programme co-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing
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across multiple sites, as well as a virtual service to meet the needs of a wide range of organisations, from micro businesses to multi-national corporations. LBIC is owned and operated by the prestigious
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research on the development and application of multiplex serological platforms to measure exposure and immunity to malaria, vaccine-preventable diseases and neglected tropical diseases. The post-holder will
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firmly focused on developing tomorrow’s musical leaders across several disciplines, including classical performance, composition, opera, jazz, and musical theatre. Integral to the musical training we offer
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play a pivotal role in advancing translational musculoskeletal ageing research, with a particular focus on sarcopenia, osteoporosis, and frailty. The role involves developing and leading research
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a pivotal role in advancing translational musculoskeletal ageing research, with a particular focus on sarcopenia, osteoporosis, and frailty. The role involves developing and leading research
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scholarships and provides training and development opportunities for students. The EDI Coordinator will join the core Techne team and work across a range of equality strands, including gender identity, race
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About the Role We are seeking a Postdoctoral Researcher to join the Cancer Early Diagnosis Unit where they will undertake research focussed on improving understanding of cancer risk and developing
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education strategy across seven departments and multiple LSHTM-based centres, with a focus on building and strengthening skills in artificial intelligence and machine learning for epidemiological research