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Field
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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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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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. 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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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
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-funded DECIPHER-M consortium (9 partners, €9M), we are building multimodal foundation models that integrate imaging, text, and structured clinical data to predict metastasis risk and identify tumor origin
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webinterface to download all key results, in particular the reference data. Where to apply Website https://amethis.doctorat.org/amethis-client/prd/consulter/offre/2910 Requirements Research
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-scale experiments will offer high-resolution measurements ideally suited for comparison with detailed numerical simulations, while large-scale experiments will provide data relevant to coarse-grained
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community discourse and/or science civic engagement. The RAP will lead ongoing qualitative and quantitative data and manuscript development related to the NSF grant My Impact: Experiential Learning in a Large
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high-quality 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
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Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a