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comparative analysis of machine learning algorithms. Furthermore, we will explore the ensemble learning strategies to achieve more confident results. Ultimately, we will explore other approaches to data
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referred to in Article 21, paragraph 3, of the Act of May 13, 2016, on counteracting the threats of sex crimes and protecting minors. The person hired as an assistant in the Department of Machine Learning
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related to modeling and simulation of biological systems, 3) very good IT skills, in particular the ability to program in Python, 4) very good knowledge of machine learning methods, neural networks, and
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baseline and temporal models, and integrating machine-learning components with analytical prototypes and software infrastructure. The work is expected to include, among others, biomedical, industrial, sports
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- excellent command of English (spoken and written), sufficient for preparing scientific publications and presenting research results at conferences, - knowledge of machine learning methods, - sufficient
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well as IT technologies. The experience in the field of data processing in radioelectronic systems, pattern recognition, neural networks and machine learning technology is especially desirable. For more
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telecommunication as well as IT technologies. The experience in the field of data processing in radioelectronic systems, pattern recognition, neural networks and machine learning technology is especially desirable
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Engineering, Automatic Control and Computer Science. The planned research areas include the following topics: cybersecurity, Internet of Things (IoT) technologies, machine learning, and Big Data analytics
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higher education institution. Specific Requirements physical basis of electronics, knowledge of machine learning; LanguagesPOLISHLevelExcellent Research FieldEngineering » Electronic engineering Additional
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of the Faculty of Humanities and Social Sciences announces a competition for the post of Teaching Assistant in the Department of Sociology and Military History. A Teaching Assistant in the Department of Sociology