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application and machine learning. • Author of at least 2 research papers in topics related to the project. • Knowledge on advanced control systems and optimization (please attach a description of your
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data integration data quality data analytics programming languages (SQL, Python, Java) Complementary IT skills: machine learning image recognition sensor technologies robotic technologies
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. The selected candidate is expected to teach courses on topics in the field of quantitative finance, machine learning and data science. Courses should be offered in Polish and/or English Academic organizational
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of Vienna). About the position: Lead the research group focusing on hybrid quantum algorithms, quantum neuromorphic computing, and quantum machine learning Build your own team (PhD students, postdocs) 4-year
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of employment: full-time Date of announcement: 20th February 2026 Deadline: 22nd March 2026 Key words: security studies, aviation safety, armed forces development. Applicants are obliged to meet the conditions
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systems, game theory, graphs, knowledge representation, logic, machine learning, networks, operating systems, programming languages, protocols, security, social choice, software engineering Deadline
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seminars, MA seminars and/or specialist classes. The selected candidate is expected to teach courses on topics in the field of quantitative finance, machine learning and data science. Courses should be
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 3 months ago
creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools for semantic search, interpretation
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, announces a competition for the position of an Assistant Professor. Position details Position title Assistant Professor Specialisation: systems, programming languages, machine learning Organizational unit
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | about 1 month ago
. The resulting data will be used to train a machine learning algorithm to predict the pressure-induced variation in the luminescent properties of phosphors co-doped with Cr3+ and Mn4+ ions based on the structural