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activities include viral (Human Papillomavirus, HPV) and human DNA methylation testing, HPV testing, as well as biomarker discovery and validation for cancer prevention through next generation sequencing (NGS
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techniques to develop an AI-powered solution to help pre-empt the impact of drug resistance mutations and aid in the combat of the growing threat of antimicrobial resistance (AMR). This exciting post is funded
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exciting six-year project examining the history of the unhealthy sponsorship of sport. Funded by a Wellcome Trust Discovery Award, Kicking the Habit: Historicising ‘Addictive’ Sport Sponsorship in Britain
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Further details and apply Overview About the Role We have an opportunity to join the Centre for Multi-omics, working with some of the world leaders in the genetic discovery of molecular traits, that underly
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storytelling and storytelling at the heart of R&D. Find out more: www.rhul.ac.uk/costarnationallab You should apply if you: Hold a PhD or Masters in a field related to emerging technologies, inclusive design or
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the NIH Data Science for Health Discovery and Innovation in Africa (DS-I Africa) Initiative and is available immediately. The salary will be on the Academic Pathway salary scale Grade 6 in the range range
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Bayesian networks, causal discovery/machine learning, Markov decision processes, decision theory, simulation Applicants are expected to broaden their knowledge in autonomous electromagnetic defence systems
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understanding the molecular mechanisms underpinning red blood cell invasion in the malaria parasite Plasmodium knowlesi, as part of a collaborative Discovery Award funded by the Wellcome Trust. The role will
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the molecular mechanisms underpinning red blood cell invasion in the malaria parasite Plasmodium knowlesi, as part of a collaborative Discovery Award funded by the Wellcome Trust. The role will build
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with other researchers at the School and the Department in an academic research environment that provides an excellent career opportunity for any enthusiastic and motivated discovery research scientist