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is modelling and optimization using molecular dynamics and machine learning. The position is part of a team looking at these fascinating systems from their fundamental properties and making them in
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for Nuclear Research (NCBJ) is inviting applications for a position PhD student - scholarship (machine learning-driven modeling of metallic glasses) Location: Otwock - Świerk - in the outskirts of Warsaw with
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++; knowledge of machine learning, deep learning, neural networks; LanguagesPOLISHLevelExcellent Additional Information Selection process Competition application should include a letter of application to
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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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. 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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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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present the results • knowledge of computer programs such as Origin, Mendeley, MNova Specific Requirements The competition is open to individuals who meet the requirements specified in Article 113