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. Approaches researched: molecular dynamics, quantum simulations, machine learning/AI, and high-throughput computing. Required: Mgr./MSc. in chemistry, physics, computer science, or a related field If you are
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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 | 11 days 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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of machine learning technologies, including large language models within the Department of Food and BioResource Technology, with a special focus on technologies applicable in so-called developing countries. As
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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 | 18 days 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
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(iii) complex architectures with tightly coupled components hinder modular adaptation. To address these limitations, we research a physics-guided machine learning framework that integrates physical
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organizing exam dates, entering exam results into the MUNI IS, etc. Routine administrative tasks related to the management of courses taught (e-learning, etc.), communication with students via the MUNI IS
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programs at the Faculty of Horticulture, aiming to acquire the theoretical and practical knowledge necessary for mastering professional studies. The teaching is primarily focused on issues related