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24 Months, Specific Purpose, Whole-Time Post Position Summary We are seeking an experienced Research Fellow in energy systems and climate-informed modelling to contribute primarily
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/Qualifications Communication, Organizational skills, Research skills, SEM/EMPA/TEM, hyperspectral, CT or micro-CT, Experience with 3D geological models, Innovation and commercialisation outputs Additional
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skills, including a proven ability in data analysis and model estimation (i.e., regression analysis); Strong computer skills, including proven ability in qualitative data analysis packages (e.g., NVivo
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applicant will play a key role in a multinational blood cancer research project funded by the Fight Kids Cancer charity. This project will generate multiomics data from pre-clinical models of high-risk acute
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Research Fellow in AI for Healthcare (1 FTE) – ArcHub ICUSafeNotes-School of Computer Science 011287
breakthroughs into commercial healthcare solutions. In the ICUSafeNotes project, we are conducting research and development of multimodal machine learning models that includes ICU note summarisation and analysis
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postdoctoral experience in the areas of energy flexibility, grid digitalisation, data-driven modelling, and privacy-preserving methods, with a strong publication record. They will have experience of working in
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, grid digitalisation, data-driven modelling, and privacy-preserving methods, with a strong publication record. They will have experience of working in both national and international research projects and
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SEAMPHONI project, funded by Horizon Europe, aims to deliver a novel, integrated, and innovative mapping, monitoring, modelling, and management system for offshore marine areas (OMAs). A key feature of
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, and cybersecurity professionals. The successful candidate will play a key role in shaping a transformative educational model with the potential to influence policy, build digital resilience from
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all datasets which inform the populations health needs including the data relating to the wider determinants of health Develop multilevel modelling on secondary dataset Increase the cultural and