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preparation and testing or powder mixtures, and then to devise predictive models (possible using machine learning approaches) for the estimation of mixture properties from pure component propeties. The PhD
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scanning and Time-of-Flight (ToF) sensors, to enable robust material identification directly in non-laboratory, real-world environments. The acquired data will be processed using advanced machine learning
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of normal and pathological physiology. It consists of a number of scientific and service departments and shared equipment for the research (http://www.fgu.cas.cz/en/ ). The Laboratory of Molecular Physiology
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, statistics, and machine learning. We offer a full-time position with the following benefits: Flexible working conditions including negotiable part time contract. Monthly gross salary: 54 - 72 thousand CZK
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
source tools (preferably Julia or Python), · advantage: publishing activities, including presentations of results to stakeholders and/or experience with parallel programming and machine learning / AI
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theory, Machine learning and multivariate statistics, Application in neuroscience, climate research, economics, ...). COBRA is a part of the Department of Complex Systems of the Institute
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utilization. ● e) Applying machine learning techniques: Dynamic selection of optimal post-processing protocols will be achieved by evaluating real-time network conditions and adjusting based on metrics
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institutional, methodological, and administrative support for projects. You can learn more about us on our website: creatic.muni.cz . The scope of your work will be: Coordination of project implementation
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announces an open competition for the position Ph.D. student - Machine learning-based tools for multiparametric enzyme optimisation Workplace: RECETOX, Faculty of Science, Masaryk University in Brno, Czech
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 2 months ago
systems Computer science » Informatics Information science Information science » Information management Researcher Profile Recognised Researcher (R2) Application Deadline 31 Mar 2026 - 12:30 (UTC) Country