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team Assist in the development and optimization of clinical decision support systems (CDSS) Assist in the use of existing data analytics platforms to analyze research objectives Data Analysis & Reporting
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)30157-0/fulltext).¿The mission of the collaboration is to accelerate research and development into immune-related diseases by applying cutting edge analytical technology and analytical expertise
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natural fracture cements using a range of analytical techniques. In addition, you will perform post-mortem microstructural and microchemical analyses of fracture cements in samples deformed in laboratory
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Energy and Climate Change Division We are seeking a Post-doctoral Research Fellow to work on a variety of projects addressing energy, energy efficiency and relevant data analytics. The post will be
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recognised and encompasses a broad range of Earth Science disciplines (geoscience, hydrogeology, geodata analytics, oceanography, and in Coastal and Ocean Engineering (hydrodynamics, geotechnics). Fundamental
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UKESM1 or similar models, advanced data analysis and machine learning, would be advantageous. Grade E: You will be near completion of a relevant PhD or have equivalent research experience, and be able
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for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and
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analytics, oceanography, and in Coastal and Ocean Engineering (hydrodynamics, geotechnics). Fundamental and applied research is strongly tied to terrestrial and marine environments and resources, and
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analytical techniques, with a focus on quantifying energy output and sensitivity to initiation by external stimuli. The project will be jointly supervised by Prof. Colin Pulham in the School of Chemistry at
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. The successful candidate will work in close association with teams consisting of laboratory-based and clinical researchers to deliver the project. Experience with analysis of transcriptomic data is essential. Role