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, the selected researchers will deal with: Research & Development: Designing, developing, and implementing state-of-the-art machine vision and deep learning algorithms to analyze complex image and sensor data
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coordinates the PhD programs offered by Bocconi University and acts as a point of reference for the University's PhD candidates. PhD candidates have the opportunity to advance their knowledge and conduct
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. The PhD student will be part of a European training network and is expected to collaborate closely at UNISS-DSBM. PhD candidate will also have the chance to conduct research visits at leading institutes
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Parchi e la Biodiversità - Romagna (Italy) for 1 month to learn about forest management for biodiversity conservation in regional park. We are looking for a candidate with a master's degree in
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Albertina 6, Turin (Italy). Candidates can submit a motivated request to conduct the interview online The results of the qualifications evaluation and the final ranking will be accessible on the Albertina
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secondments at world-class institutions. The proposed research will be on the intersection of the following topics: Energy Harvesting and Intermittent Computing Batteryless Networking Machine Learning
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experimental setups to predict Loss of Containment (LOC) in critical components of hazardous equipment (e.g. nozzles, elbows, flanges). Conduct axial/bending tests to identify leakage thresholds and formulate
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multiple-output) for high data rate and reliability, integrates semantic and goal-oriented communication, and leverages physics-informed machine learning. A key innovation will be the development
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Code of Conduct for the Recruitment of Researchers. The recruitment process will be open, transparent, impartial, equitable, and merit based. There will be no overt/covert discrimination based on race
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selection and recruitment process will be in accordance with the European Charter and Code of Conduct for the Recruitment of Researchers. The recruitment process will be open, transparent, impartial