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. Consequences for ecosystem services will be identified using context-sensitive spatial models developed by UKCEH for air pollution removal, urban carbon stocks, cooling etc. and for biodiversity. ii) Drivers
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Pytorch and/or JAX deep learning models. Experience in single-cell or spatial omics data analysis. What we offerEmbedding within a computational team, with extensive experience in computational biology and
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for R and Echoview, and statistical modeling. Interest in fisheries, fisheries acoustics, aquatic ecology, and spatial ecology. Evidence of ability to work collaboratively as well as independently
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references.. The Michigan Neuroscience Institute is an inclusive workplace that encourages individuals from diverse backgrounds and with diverse experiences to apply. Please visit: https://medicine.umich.edu
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(spatial data science) and remote sensing. We have a strong track record of securing competitive funding from the Research Council of Finland, the European Research Council and private foundations, and we
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changes to hydrometeorological forcing. Geomorphology, 414, 108383, https://doi.org/10.1016/j.geomorph.2022.108383 Eelsalu, M., Viigand, K., Soomere, T., Parnell, K., 2024a. Systematic analysis
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of predictive models of species’ range dynamics. For more information please see https://bdc.univie.ac.at/ . We are currently offering a post-doc position (temporary replacement, until 30/06/2028). The successful
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publications see here: https://www.scilifelab.se/researchers/stefanos-stagkourakis/ Essential technical expertise (Required) This position is intended for candidates who can immediately operate at a high
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neurodevelopmental and neuropsychiatric disorders using mouse as a model organism. The primary function of this position includes functional characterization of genetically modified mice carrying disease-related
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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