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for coastal ecosystems. You will perform statistical analyses of time series and spatial data on ecosystems and human activities and participate in more holistic analyses of socio-ecosystems. You will also
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Genetics in the laboratory of Dr. Steve Parker in the Departments of Computational Medicine & Bioinformatics, Human Genetics, and Biostatistics at the University of Michigan (http://theparkerlab.org ). We
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a post-doctoral researcher to join WP2 on the AI4MAP project, primarily focusing on developing adaptive sampling and spatial modelling strategies. The work will concentrate on designing and
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preprocessing; Integration of geospatial and soil data into databases. Data processing and analysis: Application of geoprocessing and spatial analysis techniques; Development and calibration of predictive models
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– Transition and spatial recomposition (Service Learning) (12 hours Th, 20 hours Pr), Master’s in Geographical Sciences – Global Change programme. GEOG2028-1 – Introduction to spatial planning: planning systems
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contributor to the UK’s air pollution problem. Despite its growing importance, our understanding of woodburning remains limited. Current knowledge of its spatial and temporal patterns at regional and national
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candidate will be encouraged to independently explore large-scale omics datasets (e.g., bulk and single-cell RNA-seq, spatial transcriptomics, proteomics) to identify and prioritize novel biomarker
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 7 hours ago
nebulae, protoplanetary disks—but also from exoplanets and galaxies. The data and tools will enable interpreting observational data from NASA missions, notably, JWST, which is now spectrally and spatially
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the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie
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successful candidate will work in the AI in Medicine Lab, applying machine learning to cutting-edge problems in cancer genomics, transcriptomics, spatial transcriptomics, and large-scale bioinformatics