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• Significant experience in data analytics, statistics and/or urban analytics • Experience in urban environmental sustainability, urban environmental policy and environmental education is advantageous but not
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committed with a keen interest in creative and multidisciplinary research • Significant experience in data analytics, statistics and/or urban analytics • Experience in urban environmental sustainability
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metadata management, developing and maintaining analysis pipelines, troubleshooting analytical and providing bioinformatic advice to consortium partners. The position involves regular communication
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include coordinating bioinformatic analysis of all samples analysed from >3000 samples and metadata management, developing and maintaining analysis pipelines, troubleshooting analytical and providing
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criteria: 1. A PhD in Engineering or similar discipline 2. Strong engineering and analytical skills 3. Computer modelling skills (i.e. MATLAB or Python) 4. A comprehensive
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. Good report writing and presentation skills Good analytical skills and computer skills. An ability to work independently to a tight schedule. Experience of bacterial growth and optimizing growth media
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. Strong engineering and analytical skills 3. Computer modelling skills (i.e. MATLAB or Python) 4. A comprehensive understanding of statistics/statistical modelling 5. Backgrounds in
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, flexibility, and sustainability through digitalisation and advanced analytics. The successful candidate will lead the technical development and validation of equipment-level FDD and preventative maintenance
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for industrial systems. The role is part of the EU-funded FLARE project, which focuses on improving industrial resilience, flexibility, and sustainability through digitalisation and advanced analytics
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. Strong problem-solving and analytical skills. Ability to work collaboratively in multidisciplinary teams. Experience in report writing, documentation, and presentation of scientific results. Project