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We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
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protection systems You will have strong research and analytical skills, a sound understanding of administrative data systems, and experience in building collaborative relationships with data-holding
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International. The candidate will develop a new tool that Fidelity will adopt to provide targeted support for its customers to fill the financial advice gap. Responsibilities include data analysis, developing
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Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information clearly Informal
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health sciences, social sciences, or economics Experience in qualitative research and/or health economic methods High-level analytical capability Ability to communicate complex information clearly Ability
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channels them back into new production processes, where possible. The case study region proposed for this is the West Midlands. The position requires an individual with a high-level of analytical capability
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experiments to test and refine DNA extraction and library construction workflows. iii. Operate and interpret results from analytical instruments, with particular emphasis on using the Agilent Bioanalyzer
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for analysis of routinely collected healthcare data. They will have experience in designing and implementing economic evaluation models, including decision-analytic modelling, and good knowledge
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technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home Applications are invited for a Research Fellow
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and