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science and knowledge of omics data analysis; CV in Europass format, providing data of work experience, education, trainings and mobility, personal skills (language skills, communication skills
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6 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire "Atmosphères et Observations Spatiales" Research Field Mathematics History » History of science Researcher Profile First
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throughout their evolution. Our vision combines ideas from differential geometry, numerical analysis, scientific computing, dynamical systems, and applied mathematics to develop new mathematical frameworks
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, Computer Science, Mathematics, or Physics, or closely related field degree in hand by the start of the position. For those with degrees that are not explicitly computational (e.g., Biology), a record of coursework
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states, tissue organization, and biological programs, and connect these representations to mechanisms of human disease. Your work will sit at the intersection of machine learning, computational biology
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Position Description UNIVERSITY OF SOUTH CAROLINA DEPARTMENT OF MATHEMATICS Postdoctoral Associates in Data Science & Machine Learning The Department of Mathematics at the University of South
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combining artificial intelligence with human expertise. The lab develops knowledge-grounded artificial intelligence, text mining and knowledge assembly, mathematical and systems modeling, and causal analysis
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
. Description: This project will focus on the analysis of Gravity Recovery and Interior Laboratory (GRAIL) and Lunar Reconnaissance Orbiter (LRO) data to improve our understanding of the Moon's interior structure
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3 Sep 2026 Job Information Organisation/Company Lodz University of Technology Department Division of Dynamics Research Field Physics » Other Mathematics » Other Researcher Profile Recognised
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explore the potential of extracellular vesicles and their molecular cargo as tools for molecular phenotyping, biomarker discovery and patient stratification in kidney disease. The work will be strongly