209 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at University of London
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collection and analysis, the development of academic publications as well as engagement and dissemination activities. We seek a passionate, effective and collegial person to join our interdisciplinary team
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efficient running of laboratory operations to support both ongoing projects and the development of early-career researchers. About the School/Department/Institute/Project Located at the Charterhouse Square
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responsibility for the development of the simulations but will contribute to all aspects of the project in collaboration with the PI and a PhD student to be funded by the grant. About You The successful candidate
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About the Role We are seeking a postdoctoral research assistant to join the group of Dr Mirjana Efremova in the Centre for Cancer Evolution, to investigate epigenetic regulators driving therapy
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pool Amazing range of professional development to support your career path Enhanced cycle to work scheme Wellbeing offering to support your physical, mental and financial health Up to 5 days paid
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About the Role You will contribute to the construction and quality control of the ATLAS Inner Tracker (ITk). The ITk group at Queen Mary University of London has played a key role in the development
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professionally accredited accounting and finance programmes and to play a pivotal role in the development of new academic initiatives. The successful candidate will deliver high-quality teaching across
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higher education to A Level, or equivalent, and relevant experience as well as evidence of continuing professional development i.e., training and development courses. Previous experience in
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Management Trainee to join the department as part of a structured development pathway designed to build future leaders within Estates. This five-year fixed-term role provides a unique opportunity to gain hands
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the design, development, deployment and evaluation of NeoShield’s applied machine-learning systems, the machine-learning-driven Clinical Decision Support Algorithm for neonatal sepsis and the real-time ward