24 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD positions in Italy
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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 advertised doctoral position will be carried out at the University of Pisa (https://www.unipi.it/ ; https://www.biologia.unipi.it/) with the most of the research work carried out at the International Centre
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Engineering, International Cooperation and Mathematics and in Precision Medicine, for the A.Y. 2025/2026, XLI cycle, approved by Rector's Decree no. 75/2025, dated January 26, 2026 Where to apply Website https
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, visit: https://sites.google.com/view/tommaso-giovannini The ideal PhD candidate has: a solid background in theoretical/computational condensed-matter physics or chemistry (MSc in Physics, Chemistry
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details of 2 references. Application’s deadline:08.03.2026 To discover more about life at IIT, visit the dedicated section here:https://www.iit.it/en/work-at-iit Where to apply Website https
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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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or pursue a professional career in international institutions, NGOs, public and private research institutes and political communication. Where to apply Website https://phd.luiss.it/politics/activities/open
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1st June 2026 and lasts 36 months. Where to apply Website https://www.polito.it/didattica/dottorato-di-ricerca-e-scuola-di-specializzazio… Requirements Additional Information Eligibility criteria
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of the University. (https://www.polito.it/en ) Task description for your Individual Research Project (IRP) Problem Definition: The possibility of assessing environmental sustainability of future launchers from
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. This position is a part of the TRANSCEND doctoral network, which comprises thirteen PhD projects (https://biomed.au.dk/TRANSCEND-network/ ). TRANSCEND is designed to develop a transdisciplinary approach