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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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for the position of assistant professor in the project NCN MAESTRO "Challenging problems in partial differential equations inspired by cutting-edge algorithms in statistics and machine learning
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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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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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Knowledge of programming tools and technologies Knowledge of data analysis tools Knowledge of basic and advanced machine learning Basic knowledge of research project management Teaching experience at a higher
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. Essential qualifications: PhD in Computer Science, Robotics, Machine Learning, or related fields. Programming skills in Python/C++ and experience with ML frameworks (e.g. PyTorch, TensorFlow, JAX). Strong
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of data at high luminosity (after Upgrade-2), participation in coordination of activities in software groups or data analysis groups, coaching of PhD as an auxiliary supervisor on machiner learning, new
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, SNA, Machine Learning, Sentiment Analysis) with qualitative ones (digital ethnography, narrative analysis). One of the tangible side-effects of the project will be developing research tools for Polish
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in research projects in the field of artificial intelligence and machine learning, • conducting scientific research in the areas of the Department's activities, • preparing scientific articles in
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interactive, interpretable machine learning to increase the efficiency of the drug discovery process. The developed tool will be able to analyze images of cellular events, such as those obtained in