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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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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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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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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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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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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
tissues and organs as spatially organized metabolic and chemical landscapes using imaging mass spectrometry. The PhD project combines spatial metabolomics, spatial exposomics, and tissue morphology
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
sound knowledge of statistics, machine learning, image analysis, or spatial data analysis The ability to assess algorithms and models not only from a technical perspective, but also in terms
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To make reliable predictions and analyses of air pollution, data assimilation methods, which integrate observational data into model simulation to update the model state and the underlying
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analyses and developing habitat maps using marine datasets. Applicants should possess strong analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB
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Contribute to the analysis of single-cell RNA-seq, spatial transcriptomics, and multi-omic datasets Apply computational and machine learning approaches to build mechanistic biological models and rationally