4,757 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions
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numerical modeling, remote sensing applications, and the development of data-driven decision-support tools. The successful candidate will work on a NASA-funded Transboundary Model and Data Homogenization
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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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, with a particular emphasis on data from Rubin Observatory, 4MOST, ATLAS, Euclid. Projects may span a broad range of topics, including improving supernova modelling and standardization, developing and
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generalization. Your work will include: Developing methods for detecting the authenticity and origin of speech and audio content generated by multiple models and containing different watermarking methods. Creating
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related to staff position within a Research Infrastructure? No Offer Description We’re searching for a postdoctoral researcher to work on the HORIZON project NatureRestoreR. The project will develop
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that influence the development, intensification, and persistence of extreme events, using observational datasets, machine learning, and Earth system modeling. The successful candidate will work with observational
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We are seeking a postdoctoral researcher with a curiosity-driven record who works at the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy
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. The successful candidate will join an interdisciplinary research programme at the interface of biochemistry, molecular biology, biomolecular engineering, and computational genomics. The current focus is developing
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of the Postdoctoral Associate is to conduct research aimed at identifying metabolic vulnerabilities in KRAS-driven lung tumorigenesis, with the goal of informing potential therapeutic strategies for KRAS-mutant lung
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Materials Science section at TU Delft is actively engaged in developing fundamental understanding for next-generation circular steelmaking. Using advanced atomistic modelling techniques, you will unravel