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Field
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information in unstructured free-text notes. While structured (coded) fields are commonly reused for research, a substantial amount of nuanced and context-rich patient information remains locked in the large
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project. These datasets will combine information from high-resolution experiments (HR-DIC, HR-EBSD, nanoindentation mapping) and large-scale numerical simulations performed using advanced FFT-based crystal
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experience in the processing and integration of massive datasets (‘big data’), they will contribute to ecological modelling, environmental impact forecasting, and soil biodiversity analysis in the central
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that they can integrate it into their large-scale quantum computer system engineering models. SKILLS. Candidates must have a high-quality background in quantum information or quantum physics, and an
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» Psychoanalytic studiesYears of Research Experience4 - 10 Additional Information Eligibility criteria PhD in Educational Sciences or Psychology Other specific requirements: -experience in large-scale IEA Assessment
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. Please check our website (www.ec2-big-nse.de ). Submit application to https://www.ec2-big-nse.de Accommodation The BIG-NSE administration office supports students in their search for suitable accommodation
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research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv
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developed to transfer information from the pangenome variation panel to large mapping populations through imputation so that association testing between complex traits and SVs will eventually be possible
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research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data Analytics and Management; (iii) Computer Vision and Pattern Recognition; and (iv
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Studierendenwerk Bonn (further information: https://www.studierendenwerk-bonn.de/en/accommodation/ ). For more information on housing in Bonn, please visit our website: www.uni-bonn.de/en/university/university-life