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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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. 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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University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 2 months ago
comes with no teaching obligations BASIC RESPONSIBILITIES AND OBLIGATIONS Conducting research related to the scientific project titled “Calculus of variations in machine learning problems”, in particular
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. Familiarity with computer programs necessary for academic research. Specific Requirements Excellent command of English and at least good command of one of the following languages: Italian, German, or French, as
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, machine learning, Experience in human electrophysiological research is a plus, experience in intracranial human research large plus, Knowledge of cognitive system is a plus, knowledge of neuronal basis
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communication skills, punctuality, and commitment to work, - demonstrate a willingness to develop and the necessary skills in the field of scientific interests, - is proficient in computer applications (Word
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an employer based outside Poland; Additional requirements: experience in conducting research using machine learning techniques, supported by a body of research evidence through publications in international
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achievements in the field of physical sciences documented by publications in renowned journals 2. Additional Requirements: 1) statistical analysis of large data sets 2) knowledge of machine learning 3