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Field
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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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, cellular, biochemical, and in vivo approaches. Perform cancer biology studies using cell lines, patient-derived models, and mouse models. Analyze and integrate molecular imaging, spatial transcriptomics, and
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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
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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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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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 9 days ago
, with the capability to measure air pollutant and carbon cycle-relevant gases at good spatial resolution and now (with GEO satellites) better temporal resolution than has historically been possible from
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. This position offers the opportunity to lead impactful research at the interface of aging biology, neurodegeneration, and spatial omics. The successful candidate will contribute to high-profile projects
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of unique new datasets using cutting-edge experimental approaches (e.g., long-read spatial transcriptomics) across diverse organs, from the brain to the gonads, with state-of-the-art computational and deep
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working experiences, and professional mentorship and support. The postdoctoral associate will be affiliated with the Center for Avian Population Studies (CAPS, https://www.birds.cornell.edu/home/center