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agricultural science with a quantitative focus (or an equivalent discipline) expertise in statistical and machine learning approaches, with the ability to apply advanced methods to complex environmental and
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understanding of activity, role and purpose of thinking in an age of machine learning, cognitive and neural engineering and enhancement. Approaches that emphasize diverse forms of thought (animal cognition
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for documented circumstances such as parental leave, sick leave, or military service. What you will do As a postdoctoral researcher, you will Establish a DORIS data processing and analysis center using the CNES
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computer scientist with experience in bioinformatics, solid programming skills and knowledge in 3D protein structures. Machine learning skills and knowledge of Web development are a plus. Good interpersonal
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motivated candidates for Postdoctoral Research Associate positions to conduct their primary research in experimental neutrino physics, including simulation, data reconstruction and analysis, machine learning
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Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP) | Paris La Defense, le de France | France | about 2 months ago
a postdoctoral researcher to work full-time on the DiscoReel project. The postdoc will work on developing machine and deep learning methods for epidemic modeling, integrating them with mechanistic
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. Research Responsibilities Responsibilities will vary depending on the Fellow’s background, but may include: • Developing machine learning, optimization, or simulation models to improve clinical operations
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work closely with I-CREWS researchers across the state. The position emphasizes developing, integrating, and applying modeling approaches—including machine learning (ML), hydrologic and energy systems
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world are facing dramatic upheaval as a result of rapid technological change driven simultaneously by digitization, the application of artificial intelligence and machine learning to all facets of company, economic
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on developing and applying cutting-edge machine learning, data science, and computational methods to study the large-scale structure of the Universe using cosmological survey data. Postdoctoral researchers at OKC