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Professor (post-doc) (F/M) in the group of research staff[1] financed from the research project NCN OPUS 28, pt.” Metal chelators affecting iron metabolism as a tool for investigating undiscovered aspects
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 3 months ago
of SciencesCountryAustriaCityVienna Contact City Vienna E-Mail noreply@eurosciencejobs.com STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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) with questions related to this position. Major Duties/Responsibilities: Develop and apply machine learning models (ML) as surrogates for high-resolution process-based hydrologic models. Design and
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the application process, please e-mail employ@umn.edu or call (612) 624-8647. Diversity The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its
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for portability layers such as Kokkos, and those of WP5 and WP6 around the profiling and analysis of performance and energy consumption. This post-doc will be carried within the APO (Parallel Algorithms and
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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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2026 or as soon as possible thereafter. The Post Doc will be connected to ongoing research activities conducted within the area of Sensory and Consumer Science. The candidate is also expected to take
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Post Doc Res Assoc Bookmark this Posting Print Preview | Apply for this Job Announcement Details Open
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to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a