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research using big data. He/she will be expected to take a leading role in overseeing research projects and supervising junior research staff. Enquiries about the duties of the post should be sent to Prof
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Supervisory Team: Prof Middleton, Prof Gandhi PhD Supervisor: Matt Middleton Project description: We know of only 20 or so black holes in our galaxy yet predict there should be 10s of millions
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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). TUD Dresden University of Technology embodies a university culture that is characterized
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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging
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. You can read more about career paths at DTU here . Further information Further information may be obtained from Dr. Lei Yang (leiya@biosustain.dtu.dk ) or Prof. Tilmann Weber (tiwe@biosustain.dtu.dk
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data analysis, with opportunities to apply your skills to integrating this with other data types (e.g. genomic and transcriptomic). The position is full-time and available for a duration of 4 years
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analyse large datasets such as the Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics to identify activity related to the treatment of community acquired pneumonia. This will require
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(bio-)chemistry, physics, and engineering expertise to study molecules and cells, taking advantage of optical and single-molecule imaging, molecular probes, molecular biology, and 'large' data analysis
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such approaches would be cost effective. To achieve this, you will be supported to undertake analyses using large data registries such as the Clinical Practice Research Datalink. This is an exceptional opportunity