31 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at Imperial College London
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the research staff at the University of Swansea (project partners), and to work with the extensive group of project industry external collaborators. See https://rissgroup.org/projects-resics/ for further
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Ministries of Health and partner research institutes across 24 countries, to improve understanding of dengue and Zika virus circulation and interaction (https://www.imperial.ac.uk/news/articles/medicine/school
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are treated with full respect, and that any and all staff involved with this work show due consideration at every level. For further details, applicants are directed to: http://www.imperial.ac.uk/research-and
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full respect, and that any and all staff involved with this work show due consideration at every level. For further details, applicants are directed to: http://www.imperial.ac.uk/research-and-innovation
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. Stefanos Zafeiriou can be found at https://wp.doc.ic.ac.uk/szafeiri/ . Research Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. computer vision, machine learning
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to develop a model of health and healthcare provision (see www.tlomodel.org ). The post holder will lead the model analyses that address the three questions outlined above, including, model development, coding
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tools, reproducible code and high-quality publications Presenting findings to Imperial, Oxford and GSK stakeholders and contributing to collaborative project planning Secondments at GSK to test models
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Excellent coding skills Preferably a familiarity with machine learning and deep learning models, as well as a familiarity with cardiology. Ability to work well in a team, and coordinate team research Ability
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findings, and help attract funding. PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering Excellent coding skills Preferably a familiarity with machine learning and deep
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and an effective team player Excellent numeracy skills (basic rules, using codes on databases) A pro-active and flexible approach to work with the ability to adapt to changing situations in a considered