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, and industry audiences. Reproducible outputs including: Analysis protocol Validated questionnaire scoring framework Aggregated datasets (de-identified/synthetic) Statistical analysis code
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Resources Engineering, Hydrology/Hydraulics, Environmental Science, Remote Sensing or a related field. Someone with previous training in computer modelling and coding, or with demonstrated experience in field
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industry is considered a key to success in solving some of the research, development and deployment challenges under various theme areas. Find out more: https://ra-latrobe.iitk.ac.in/ Applications
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the University’s code of conduct for research and student travel policy): Research Integrity Principles, Student Travel and Transport Policy (MPF1209), Graduate Research Training Policy (MPF1321), Academic Progress
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- Contact: anupiya.nugaliyadde@norwoodsystems.com Website: https://norwoodsystems.com/ For further information: Visit our website Contact your Graduate Research Office
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qualitative and quantitative methods. Work on WP-2 will suit someone with an interest and aptitude for coding administrative data using large language models. It will require use of advanced quantitative
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on informing nitrogen management decisions (i.e. how much and when to apply), since they remain the largest contributor to the gap in water-limited production potential. This PhD project will contribute
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analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., EEG, eye-tracking, pupillometry, fNIRS) Interest or training in technology law, digital regulation