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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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construction of mechanical systems. It operates on four main thematic areas: 1) Mechanical design, 2) CNC machining, 3) Additive manufacturing and 4) Mechanical assembly and testing. The facility is equipped
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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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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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, Italy, SSM is a prestigious institution of higher learning and research with a deeply rooted interdisciplinary approach and a global perspective. Renowned for its rigorous selection process, SSM admits
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. More specifically, the doctoral program has four different specialization tracks: - Complex Systems and Networks (CN) - Computational Mechanics (CM) - Learning and Control (LC) - Software Quality (SQ
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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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the lithosphere, hydrosphere, atmosphere, biosphere, and human systems through scientific inquiry and research-oriented learning. The curriculum combines geology, climatology, hydrology, sustainability, ecology