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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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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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. 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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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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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
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analysis, approaches using artificial intelligence (AI) and machine learning (ML), or advanced numerical simulations. Your expertise will enrich IIMCB’s research and foster collaborations by using
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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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bio materials and porous materials PhD student candidate 2 with background in computer science, AI, machine learning or related fields with the experience in CFD, ANSYS, COMSOL The successful candidates
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to, the development of new methods for multiomics or image analysis, approaches using artificial intelligence (AI) and machine learning (ML), or advanced numerical simulations. Your expertise will enrich IIMCB’s