28 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "I.E" positions at Imperial College London
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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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-career Researcher Fellowship In receipt of major long term UKRI funding Evidence of expertise in non-animal research methods, i.e., organ-on-chip technologies, and a proven ability to secure funding in
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to support experiment planning, model selection, interpretation of results and coordination of complex experimental and modelling workflows. You will work hands-on with data, code and modelling tools
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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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Experience in target validation and/or chemical inhibitor testing using in vitro models, i.e., cell lines Practical experience in a broad range of molecular biology techniques including cell culture, western
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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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decision making (i.e. Sustainability committee), and in some cases, deputising for the Communications Manager in their absence. Essential Degree-educated or equivalent experience. Strong written and verbal
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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