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Science, Telecommunications, Applied Mathematics, or related fields; Solid background in probabilistic modeling, Bayesian inference, information theory, and/or machine learning; Experience with signal processing or decision
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; Distributed multi-agent sensing and cooperative positioning algorithms; Machine learning and data-driven methods for ambient awareness. Working Environment: The PhD will be conducted at the University
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://chiralnanomat.eu/ we offer two PhD positions: DC9 - Bio-Functionalized Chiral Nanocluster Modelling via Machine-Learning Methods DC10 - Predictive Modelling and Rational Design of Asymmetric Catalysis by Chiral
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experience in Artificial Intelligence (AI) and Machine Learning (ML) concepts, algorithms, and frameworks; Hands-on experience with popular ML libraries and tools (e.g., TensorFlow, PyTorch, scikit-learn
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for global health 2. Civil Engineering and Architecture 3. Electronic and Computer Engineering 4. Industrial Engineering 5. Neuroscience 6. Innovation Science and Technology Notice of competition and specific
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the University of Palermo (UniPa). PhD Programmes: 1. Capacities Building for Global Health 2. Civil Engineering and Architecture; 3. Electronic and Computer Engineering; 4. Industrial Engineering; 5. Neuroscience
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” University expected to be permeable, inclusive, open to the labour market and to industry, with a key role in innovation and lifelong learning. The goal is to become a driving force for a societal sustainable