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fluent in writing; • Computer literacy (Office/spreadsheets); • Availability; • Strong willingness to learn; • Openness; • Ability to work in a team. Where to apply E-mail kariera@poltreg.com Requirements
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, command of Polish that allows for conducting classes or readiness to learn Polish (in the case of foreign candidates). ADDITIONAL REQUIREMENTS: computer skills in terms of statistical software (e.g. SPSS
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methods and potential application of machine learning techniques. Good command of English (B2/C1). The candidate will be responsible for carrying out tasks related to the analysis of experimental data
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leveraging visual perception of human actions, object properties, and scene context. It integrates machine learning tools, knowledge representation, and robot actions design to develop decision-making
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development) including robotics, computer vision, natural language processing, information organization and retrieval, biomedical application and machine learning. Author of at least 2 research papers in topics
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. Specific Requirements PhD student status at least at the day of signing the contract in accordance with the project assumptions, theoretical and practical experience in reinforcement learning models (RL
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teamwork skills and documented experience in collaborative research environments. Have proven experience with Artificial Intelligence methods, computational modeling, statistics, and machine learning applied
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, spoken and written 10. proficiency in the use of computer, MS Office package, graphing programs (e.g. Origin, Sigma Plot, etc.) and chemical formula programs (e.g. ChemOffice). LanguagesENGLISHLevelGood
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of biomedical signal recognition, with particular emphasis on brain data, and concerning machine learning, Research experience in the areas of artificial intelligence, machine learning, and biomedical signal
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of information technology, computer networks, operating systems, website development, software engineering, etc., using active learning methods, • participating in the organizational work of the unit. 4. List