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including predictive modelling, computer vision and epidemiology. The student will join an established team of investigators, including statisticians, epidemiologists, image scientists, and clinicians
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. ii) to use mathematical modelling methods to determine how on farm management practices can impact the carbon footprint of farm carbon assessment. iii) to contribute to the body of scientific
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. Studies will be conducted in dairy cows and in vitro to determine the effects of the dietary addition of essential oils (e.g. length of feeding, rate of inclusion and method of feeding) under different
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of sample processing and method development with multiple contract research organizations relating to toxicity, ADA and sample storage/labelling/stability studies will also be key responsibilities
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, environmental data science, or a closely related STEM discipline Demonstrated expertise in urban spatial data analytics, with proficiency in GIS software (e.g. QGIS, ArcGIS) and geospatial methods Experience in
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reconciliation, enhancement, and integration of the MLGB dataset, working with legacy print, manuscript, and digital sources. You will apply and adapt digital methods (especially TEI XML), analyse provenance data
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temperature stability and spatial resolution, to make a leap in this field. The PhD research programme will squarely address these challenges. The PhD candidate should have completed (or about to complete
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or worsening structural and clinical features and identify risk factors for decline among severely affected children with CZS. Dr. Kelleher’s research uses telehealth-based methods to assess early development
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Gamesa Renewable Energy R&D team and also undertake an industry placement as part of the PhD programme. To apply, please contact the main supervisor, Dr Chen - lujia.chen@manchester.ac.uk . Please include
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to apply: Please choose Electrical and Electronic Engineering Research Program and Control and Power Group, then indicate Professor Balarko Chaudhuri as a potential supervisor when making the application