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data, leveraging advanced computational models, and applying state-of-the-art genomic technologies. The postdoc will develop new computational approaches to further our mission to identify drug targets
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programme in Dr Spiliopoulou’s career development fellowship funded by Versus Arthritis and aiming to develop a precision medicine approach for rheumatoid arthritis. The post holder will work closely with Dr
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. The development of novel immunologic techniques and applying novel technologies will be included in this effort. Collaboration with pathologists for correlations with tissue imaging and with computational
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Contribute to developing new models, techniques and methods Person Specification First degree in Chemistry and normally, a higher degree relevant to research area or equivalent qualifications/experience
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sensing systems, including recent NOAA and NASA satellite launches, and computer modeling systems. Mentor: The mentors for this opportunity are Susan O’Neill (susan.oneill1@usda.gov ), Sim Larkin
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contribute to an exciting programme of research involving cost-effectiveness modelling and preference elicitation work in the areas of diabetic medicine and dental care. As part of these projects
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applications would be particularly beneficial, although not essential. In addition, experience in artificial intelligence, cloud computing, sensor networks and/or data visualisation would also be highly
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teaching Experience with water infrastructure modelling with a focus on computational methods A strong link to the topic interdependence and cascading effects in Urban infrastructure Systems. A strong
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collaboration with ITS 8.) Other duties as assigned Required Qualifications 1) Ph.D. in Data Science, Computer Science Experimental Psychology, Statistics or Biostatistics and a refereed publication record. 2
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techniques. This will include: Develop research objectives and proposals, with assistance of a mentor if required Analyse and interpret data and models, including contribution to new techniques and methods