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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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post-operative animal care including documentation; 2) assisting with all large animal procedures, 3) record keeping, data acquisition, and sample collection and processing during large animal surgery; 4
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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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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This research focuses on developing and validating Big Data-driven methods
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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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, graphs); experience with analysis and processing of large volumes of data; development of reproducible scientific software; proficiency in Python and libraries (Pandas/NumPy and PyTorch/TensorFlow/Scikit
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NordForsk 2026-2029 in a collaborative team of Nordic and Baltic NLP partners; see https://www.nordforsk.org/projects/culture-sensitive-assessment-and-adjustment-large-language-models-adaptation-nordic-baltic
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duties will include 1) routine pre-, peri- and post-operative animal care including documentation; 2) assisting with all large animal procedures, 3) record keeping, data acquisition, and sample collection
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the day) to accommodate your needs. Working remotely is possible for up to 1 day/week. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus, Oxford
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The Pathology Department is seeking a Biostatistician who will analyze large scale, longitudinal data. Analyzed data is abstracted and extracted from electronic health records, laboratory and pharmacy databases