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research project "Plasma state classification and abnormal event detection in nuclear fusion devices with Symmetrized Dot Pattern and Machine Learning applied to time series of tokamak plasma radiation
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advanced artificial intelligence models (cellular automata, machine learning) of diffusion processes at high temperatures Performing in-depth microscopic and phase analyses of the oxides formation in
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related to modeling and simulation of biological systems, 3) very good IT skills, in particular the ability to program in Python, 4) very good knowledge of machine learning methods, neural networks, and
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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/Qualifications Requirements: • Master’s Degree in Computer Science or Mathematics or Physics or a relevant discipline. • Background in machine learning or programming
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- excellent command of English (spoken and written), sufficient for preparing scientific publications and presenting research results at conferences, - knowledge of machine learning methods, - sufficient
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learning, computer vision, or a related field; knowledge of affective computing, generative AI models, and deep-learning methods; proficiency in Python and experience with machine-learning libraries
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or an equivalent qualification to have a PhD degree to have a very good command of English to have scientific interests related to Artificial Intelligence and Machine Learning to have outstanding