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include (but are not limited to): Uncertainty quantification Regularization techniques Machine learning deep learning High‐dimensional statistics Dimensionality reduction Causal machine learning
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Dynamics. Advances in computational sciences, machine learning, and artificial intelligence are transforming the study of complex flows. Such systems are prevalent in both industrial physic-chemical
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, Impresso - Media Monitoring of the Past (https://impresso-project.ch/ ) is an interdisciplinary research project that uses machine learning to pursue a paradigm shift in the processing, semantic enrichment
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Experience working in a research environment or on research projects is a plus Familiarity with AI and Machine Learning is a plus Excellent communication and collaboration skills, with the ability to work
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activity can be considered. Teaching portfolio: The holder of this position is expected to co-build, co-direct, and teach in the bachelor's programme in medical imaging technologies and related fields. He
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the Institute of Applied Physics in Florence, Italy (IFAC) and to conferences in Europe to present scientific results. Knowledge of inverse methods, statistics or machine learning Knowledge of remote sensing from
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clinical activity can be considered. Teaching portfolio: The holder of this position is expected to co-build, co-direct, and teach in the Bachelor's program in clinical imaging technologies and related
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clinical activity can be considered. Teaching portfolio: The holder of this position is expected to co-build, co-direct, and teach in the Bachelor's program in clinical imaging technologies and related
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spoken and written is required The candidat must have a PhD in computer science, machine learning, or computational biology The position is available immediately and will remain open until filled
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity