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experience-dependent plasticity. Our research combines structural and functional neuroimaging, EEG/MEG, behavioural methods, computational modelling, automated neuroanatomical phenotyping, machine learning and
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cloud-based geospatial analysis. Spatial visualization, mapping applications, and predictive ecological modeling. Applicants must possess a valid U.S. driver's license (or obtain one within 60 days
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project focused on urban biodiversity modelling and spatial ecology in Singapore. Key Responsibilities: The Research Assistant/Associate will contribute to the development of species distribution models
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treatment resistance in ovarian cancer. Vähärautio lab (https://vaharautiolab.org/) at the Medical Faculty, University of Helsinki, is seeking a bioinformatician or a computer scientist with strong
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integration of West Nile virus and avian influenza issues into a participatory multi-agent model developed for the prevention of zoonoses as part of the PREZODE ZOOCAM project. The assignment aims to produce
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learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based
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analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB. Experience using GIS, side-scan sonar, multibeam bathymetry, underwater imagery, remote sensing
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statistical models (Bayesian approaches, geographical analyses) adapted to environmental data. • Carry out statistical analyses and the spatial distribution of risk between residential environmental exposures
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Drosophila and/or mouse models. • Prepare and analyze samples for single-cell and/or single-nucleus sequencing approaches. • Participate in the development and use of 3D spatial transcriptomics approaches
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atmospheric chemistry transport models to simulate the spatial distribution of ultrafine particles and use geostatistical interpolation tools to produce very high resolution concentration data. You will work