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Field
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climate change - Computer vision, e.g., colour vision, human colour vision, colour appearance models, etc. - AI technology, e.g. statistical learning, neural network learning, deep and transfer learning
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will engage in research projects spanning Business Model Transformation, Operating Model Transformation, Organizational and Workforce Transformation, Performance and Metrics, Data Privacy and
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-time equivalent) of relevant research experience. A sound understanding of genetics and genomics methods, especially DNA extractions, library preparation and sequencing of DNA in non-model organisms
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to support energy management in buildings, integrating optimisation and forecasting models and algorithms; - development of interactive visualisation dashboards, including front-end components and integration
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, winbugs) Health economic evaluation and decision modelling This is a full-time fixed-term position until 31 March 2027, and subject to funding an extension is anticipated. Applications for part-time will be
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and contributing to the development of national-scale models to study and evaluate various potential pathways for renewable energy transition and transport electrification, as well as their demands
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Analysis: Expertise in applying bioinformatics approaches to analyze complex datasets, including model fitting, statistical testing, and data visualization in R and/or Python. Ability to work closely with
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deviation analysis of probabilistic models, and associated problems in PDE, with emphasis on identifying both well- and ill-posed examples and the interplay between probabilistic analysis and the analysis
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large data set? We are offering a unique opportunity to drive the development, capture and iterative improvement of both a large data set model, and the techniques to generate informative report-based
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intracellular signalling, including design of experiments, analysing data, writing manuscripts and reports, and supporting grant applications. This position will fit into a multidisciplinary environment with