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systems, multi-scale modelling of pavement materials and structures, reuse of materials, structures and parts of structures, assessment methods for structures, smart monitoring techniques, design methods
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Neurodevelopment. You will develop, implement, and apply computational pipelines to analyse large-scale genomic datasets generated through Perturb-seq and other functional genomics approaches. You will use state
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biogeochemistry. Experience applying machine-learning or AI methods to environmental data analysis, model calibration, or model-data integration. Experience synthesizing multi-source, multi-scale observational
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 15 days ago
regions where ground radar and gauge networks are sparse. In the reverse direction, high-resolution precipitation fields (e.g., MRMS) provide spatially distributed validation for fine-scale soil moisture
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record. Preferred Prior experience with spintronic materials or beyond-CMOS device platforms. Familiarity with MATLAB or the Python scientific stack. Prior involvement in multi-PI collaborations
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 8 hours ago
profiles, and biomass-related metrics. Prithvi-WxC will provide complementary representations of large-scale hydroclimatic conditions. Through masked-modality and cross-modal learning, the research will
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biogeochemistry. Experience applying machine-learning or AI methods to environmental data analysis, model calibration, or model-data integration. Experience synthesizing multi-source, multi-scale observational
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. Under the supervision of Luke Johnson, PhD and Jerrold Vitek, MD PhD, the associate will work collaboratively within the NMRC on an existing project supporting the collection and analysis of large-scale
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15,000 Emirati nationals investigating genetic, environmental, and lifestyle determinants of complex diseases. The successful candidate will lead and contribute to large-scale population genomic analyses
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how clinical blood tests are used. The chosen candidate will develop novel theory, large-scale data pipelines, and collaborate with clinicians to drive impact from these models, and use them to benefit