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of antimicrobial resistance (AMR) genes. By applying high-throughput sequencing and integrative data analysis in clinical and environmental settings across hospitals in Guinea-Bissau, Nigeria, and Côte d'Ivoire
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marine realms. For this, a suite of thematic VREs will be developed that allow an easy-to-use application of models on available and harmonized biodiversity and environmental data. Both projects provide
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field. GRAV4GEO aims at developing topographic gravity field models in terms of ellipsoidal and spherical harmonic coefficients for the Earth’s upper crust, which represents an important part of
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working on several projects involving medical image analysis, neuroimaging, and neuroscience. This position is based in the Developmental Network Neurobiology Lab in the UF School of Medicine in
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ability, including mobility, that results from person characteristics interacting with environmental affordances and constraints. Applying this approach provides an interdisciplinary focus encompassing
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field. GRAV4GEO aims at developing topographic gravity field models in terms of ellipsoidal and spherical harmonic coefficients for the Earth’s upper crust, which represents an important part of
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, and maintenance of bioinformatics pipelines for high-throughput genomic data analysis in high-performance computing (HPC) and cloud environments Harmonize and maintain diverse datasets and their
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nitrogen module in the Global Change Analysis Model (GCAM). The McGill-based postdoctoral researcher will have a particular focus on synthesizing and harmonizing existing subnational data (including through
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of complex biopharmaceuticals and vaccines. Projects encompass methodology development, including data analysis, method harmonization and case study applications of state-of-the-art biomeasurement techniques