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diseases (VBD) in relation to climate change, such as West Nile fever, Dengue fever, and Tick-borne diseases. His group develops and uses approaches for multi driver predictions using statistics and machine
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patient samples. The Sheffield arm of the project will develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung
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involving complex methodologies and statistical analysis. Your responsibilities will include data management, cleaning, and analysis using advanced statistical techniques, as well as drafting reports and
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diseases (VBD) in relation to climate change, such as West Nile fever, Dengue fever, and Tick-borne diseases. His group develops and uses approaches for multi driver predictions using statistics and machine
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areas, could include deep learning (e.g. Long Short Term Memory - LSTM), statistical baselines (e.g. Autoregressive Integrated Moving Average - ARIMA, Kalman filters) and transformers (e.g., spatio
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) for simplified data storage and submission Collaboration on tool development for multi-omics data integration (genomics, transcriptomics, proteomics, metabolomics, lipidomics), statistical evaluation and
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(or the international equivalents) in Biosciences, Engineering, Environmental Science, Physics, or Mathematics and Statistics, we would like to hear from you. If your first language is not English, or you require Tier 4
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probability and statistical inference, optimisation, microeconomics, scientific methods Elective courses in economics, finance, or optimisation Dissertation on a topic in business economics, industrial
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Offer Description Backend and frontend development for management, configuration and data collection in IoT monitoring devices (access to databases, web pages, etc.). Statistical data treatment. Where
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gradient Bioinformatic and statistical analyses Relate environmental variables to microbial dynamics Meso- und Microcosm experiments Contributions to IGB’s scientific activities and publications Your profile