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the environment and contribute towards the target of Net Zero Carbon Dioxide Emissions. Duties include: Collecting and maintaining robust energy and environmental data to identify trends in performance Producing
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). Undertake market research and analysis and reporting of data to monitor performance, support decision-making, and develop market intelligence Develop and maintain positive and effective relationships with
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of short courses. There will be opportunities to contribute to teaching, as appropriate. You will join a thriving, dynamic group of methodologists with a large porfolio of active projects, including national
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, dynamic group of methodologists with a large porfolio of active projects, including national centres such as the NIHR Innovation Observatory. Candidates must be willing to work in multidisciplinary teams
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• Sets own priorities in conjunction with team and area objectives • Considers large amounts of complex information quickly and identifies key issues • Recognises urgency and takes decisive action
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(jane.endicott@ncl.ac.uk) or Professor Martin Noble (martin.noble@ncl.ac.uk) Information about the Cell Cycle Structural Biology Group can be found at: https://research.ncl.ac.uk/cellcyclestructuralbiology
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FUNDACIÓN PARA LA INVESTIGACIÓN BIOMÉDICA DEL HOSPITAL UNIVERSITARIO PUERTA DE HIERRO | Spain | about 1 month ago
microenvironment, Big Data and digital transformation, and Genetic and environmental factors predisposing to lung cancer. This contract is carried out under the aid/project “SHARE: SpanisH cAnceR data spacE,” which
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hydrodynamics for novel marine vehicles, including large ships and small AUVs and offshore renewable energy systems including offshore wind. You are expected to perform advanced computational fluid dynamics
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out, among others, will consist of: Study and modeling of data pre-processing and development of the technological stack for Big Data; Study on ML and DL models for decision making; Predictive analytics
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of the technological stack for Big Data; Study on ML and DL models for decision making; Predictive analytics, explainability and interpretation, and hybrid models; Development of an Emotional Model of Satisfaction in