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combining wave modelling, field observations, remote sensing, advanced mathematical methods and AI, the research will quantify spatial patterns of wave set-up, its statistical distributions and co-occurrence
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background in machine learning and data analysis Interest in single-cell omics, spatial data, and data integration Intellectual curiosity, independence, and motivation to tackle open-ended problems with real
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 2 months ago
established, whose spatial and spectral properties must be determined and optimized. In addition, numerous optical measurements are to be carried out for other X-ray observatories such as eXTP and the AXIS
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California State University, San Bernardino | San Bernardino, California | United States | about 22 hours ago
course content: Advanced Epidemiology, Advanced Biostatistics, Research Methods, Program Planning and Evaluation, Infectious and Chronic Disease Epidemiology, Spatial Epidemiology, Advanced Topics in
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applications for fully-funded postdoctoral research associate positions. SITE is highly interdisciplinary and aims to develop novel enabling technology on hydrodynamic stability analysis that has applications in
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III will be responsible for specimen tracking, processing, organization and analysis. The Research Associate III will be expected to maintain detailed records of experiments and activities according
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cell fate specification. The project will focus primarily on the analysis and comparison of single-cell RNA-seq datasets from different animal groups, including multi-omics and spatial transcriptomics
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
high spatial resolution and revisit frequency. Such infrastructures are crucial to understand our changing world and climate but also the Martian or the Moon environments and their degree of habitability
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systems, GHG emissions, waste and/or sludge management from SMEs/SMEs.• Experience with Python for data analysis, model automation and spatial/environmental processing.• Previous experience in research
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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