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: Federally sponsored research in predictive intelligent networking Position expected to continue until March 1, 2027. Must be eligible to work in the United States on a full time basis for any employer
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complete Data management for the project including data collection, cleaning, coding, analysis and interpretation of primary/secondary datasets using statistical software packages collaborate and build a
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an enterprising spirit. The School runs a full range of programmes including undergraduate, postgraduate and MBA programmes, as well as a PhD programme. The School works closely with a network of business partners
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qualitative or quantitative methodologies. Knowledge of statistical analysis tools (e.g., SPSS, R) and/or qualitative software (e.g., NVivo, MAXQDA) is desirable. Strong organisational skills with the ability
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numerical framework to capture droplets evaporation behaviour. The project requires the Research Fellow to work with both commercial and opensource numerical software to accurately predict and capture complex
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-disciplinary research and collaborating with an extensive network of international and national partners. Summary of Post We have a part-time Snr Research Fellow position at RCSI suitable for a health services
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efficient manufacturing. Our work focuses on reducing energy use, decarbonising industrial processes, and creating technologies that enable a transition to net zero production. This project aims to develop a
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will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd-programmes/phd-programme-in-computer-science
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The Atmospheric Chemistry Research Group (ACRG) and School of Engineering Mathematics at the University of Bristol have developed GATES, a graph neural network (GNN) machine learning model that can
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to the UK’s net zero target. RESPECT will achieve this by collating data through novel interdisciplinary collection, modelling and engagement methods. These data will establish the capacity of land and land