126 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at University of Manchester
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Holdings) The University of Manchester and Concretene are looking to recruit a specialist in cement and concrete technology to undertake this 21-month project which has an overall aim of developing
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Team, around 25 technical IT specialists — and growing — many with a research background themselves. We develop and support e-infrastructure platforms for the University research community including
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for pursuing high quality research, both theoretical and applied, across all areas of macroeconomics, microeconomics and econometrics, including financial, environmental, and development economics. Building
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is to develop and apply advanced machine learning techniques to automate and accelerate the analysis of large-scale cardiac imaging datasets. The work will involve building deep learning pipelines
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, University of Manchester, and will involve working on methodological research and theoretical development for Survey Futures, together with the University of Manchester investigators, Dr Alexandru Cernat and
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also work closely with the ACED Inequalities Theme PPI lead, PPI Champion, and PPI group to support engagement of patients and members of the public in ACED research. They will prepare summary reports
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signalling dynamics regulate cell fate decisions during Drosophila development. The successful candidate will be practical, organized and independent, with excellent communication skills. Applicants should
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for the trial sponsor, clinical site, managing CRO, funder and other third parties. The post holder will also support the development of other ongoing or new clinical trials and manage the submission of future
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one-year deep dive project on the future evolution neurotechnologies and what this means for TIPSS risks and risk mitigation, in particular focusing on the ways in which the convergence
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of in vivo oligonucleotide disposition and effect. The research will involve the development and exploration of in vitro methods to assess siRNA cellular kinetics using cellular and molecular techniques