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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
scholar to conduct in-depth analysis of stratospheric data, using data from the Microwave Limb Sounder (MLS) as well as complementary datasets like the Atmospheric Chemistry Experiment Fourier Transform
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trials to multi-omics explorations, imaging, biomarker development, stable-isotope tracers, and large-scale data set s and machine learning. The lab is now recruiting for a postdoctoral researcher, who
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the large diversity of neurons within the brain?" "How do these neurons 'wire up' into functional circuits?" "How do neural circuits produce behavior?" Position Summary The Institute of Neuroscience (ION
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forecasting. Familiarity with ensemble methods, Bayesian approaches, and uncertainty estimation. Experience with large-scale or messy real-world data (structured and/or unstructured). Interest in or experience
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foundational theory of how large ML systems can be regularised to have dramatically fewer trainable parameters without sacrificing accuracy by analysing the use of low-dimensional building blocks Implicit
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for foundation models). Other relevant research directions, as proposed by the applicant. Strong applicants will bring depth in some of the following areas (not all are required): Large-scale data analysis and
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spatial and temporal monitoring results in enormous volumes of data, necessitating the management of large datasets and communication of extensive (and expensive) data packets. These factors necessitate new
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12 Dec 2025 Job Information Organisation/Company CNRS Department Laboratoire plasma et conversion d'énergie Research Field Engineering Physics Technology Researcher Profile First Stage Researcher
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group, we produce and process large amounts of mass spectrometry based metabolomics, lipidomics, and exposomics (chemical exposure) data in various human study settings, and the aim is to integrate and
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applied mathematics, physics, computer sciences or social sciences with outstanding skills in quantitative methods ; - Provable experience working with social media data, specially very large datasets (we