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Postdoctoral Research Fellow position. We are looking for a motivated candidate with expertise in DA, machine learning, and geophysics to develop the hybrid AI-physics version of NorCPM for long coupled
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-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith . Our lab studies spatial population genetics, using simulation-based inference and machine learning to infer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
motivated candidate with a strong interest in machine learning and clinical neuroscience. The lab studies resilience and vulnerability in brain aging and dementia, and builds computer-aided methods and tools
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-VIS-NIR). Experience in hyperspectral data processing (HMSPL, μXRF, μXAS) and statistical analysis (clustering, machine learning) is preferred. Familiarity with fossilization processes and taphonomic
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research is MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR-based technology that enables precise engineering of thousands of defined mutations in parallel, in a single test tube. By linking each
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 11 days ago
: tyrex.inria.fr Relational learning has recently gained renewed momentum through the development of end-to-end deep learning approaches over relational databases. In this setting, relational tables are typically
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. Ideal candidates will have demonstrably strong research skills, evidenced by multiple publications in top-tier machine learning or artificial intelligence conferences and/or leading scientific journals
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, chemistry, electrical and computer engineering, materials science and engineering, or computer science and engineering. The postdoctoral fellow is expected to actively work with more than one CQISE faculty
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category Staff & Executive - Research Support (Laboratory/Non-Laboratory) Department RBHS Overview New
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. For example, investigating costs and benefits related to the adoption of state-of-the-art technologies that permit tracking and chain of custody. The team will also explore machine learning and artificial