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Field
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of the primary objectives of the ITC is to integrate conceptual theory with computational modeling. We are, therefore, interested in candidates working in any field related to theoretical and/or numerical
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currently being developed. The section will serve as a central competence centre for data science and data-driven methods for Earth system sciences. Your responsibilities: Develop data-driven methods
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
. Integrate independent references for rigorous validation. Methods & Data Engineering Design generalizable, well-documented pipelines for data fusion and modeling using established geospatial and scientific
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transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career
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involves interdisciplinary research on the development and evaluation of large language models for low-resourced langauges, primarily focusing on Danish and other Nordic languages. The research will focus
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of progenitor-to-tumor cell niche transitions, focusing on the esophageal epithelium. Duties The current project will be centered around characterizing changes in local cell-cell networks during early esophageal
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research work in the Sustainable Energy and Environmental Systems Department. The Postdoctoral Scholar will conduct energy and environmental policy analysis, specifically by modeling key performance metrics
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project dedicated to decoding early human embryo development through cutting-edge stem cell-based embryo models, single-cell omics, with a focus on X-chromosome inactivation and cell fate. The project
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instruments and high throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those
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-borne VFs, implicated in human diseases, with a particular focus on cancer. Our findings will broadly expand our current knowledge regarding the infective competence of the human microbiome. Overall