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machine learning (ML)) and emerging data types (electronic health records (EHR), biobanks and disease registries, and next-generation genomics including single-cell and spatial omics); communicates clearly
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African ocean basins. O2. Building anticipatory governance to ensure that actions to achieve transformative visions are sensitive to multi-scale temporal and spatial dynamics. SRC is leading WP 2 that aims
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-of-the-art in vivo perturbational technologies and advanced computational modelling to solve fascinating biomedical puzzles. This interdisciplinary atmosphere has been a main catalyst for many past successes
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Developer will report to the Director of the Center for Environmental Modeling for Policy Development, within the Institute for the Environment. The Research Associate will support software development
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experience in the analysis in at least one of the following domains: single cell genomics, WGS, WES, ChIP-seq, ATAC-seq, RNA-seq, spatial transcriptomics/proteomics, machine learning/deep learning models
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
CCAMLR meeting: the expiration of Conservation Measure (CM) 51-07, which previously mandated that the maximum allowable catch of 620.000 t be spatially distributed among subareas 48.1 to 48.4. With
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LMU Munich. The group is located within the Institute of Clinical Neuroimmunology (https://www.neuroimmunology-munich.de/ ). The professorship of Systems Neuroimmunology is part of the Cluster
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social science). The candidate is expected to contribute toward developing wholistic adaptive
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structured data sets within a joint species distribution modelling framework. For more information, see: https://www.helsinki.fi/en/researchgroups/research-centre-for-ecological-change . The Department