18 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" PhD scholarships in Italy
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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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interested in “More Information” and then “PhD Programme Table”) Where to apply Website https://studenti.unibo.it/sol/welcome.htm Requirements Additional Information Eligibility criteria Eligible destination
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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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; 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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of Pisa) and Dr. Stan Van Gisbergen (SCM, Holland) https://www.scm.com/ , who will also serve as industrial mentor. DC9 - Objectives: Apply Machine Learning force fields and sampling methods to model bio
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Website https://www.uninsubria.it/ Requirements Additional Information Eligibility criteria The criteria are described in the announcement Eligible destination country/ies for fellows: Italy Eligibility
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. The call for applications is available at http://phd.unipv.it/call-41-bis/ Where to apply Website http://phd.unipv.it/bando-41-bis/ Requirements Additional Information Eligibility criteria The selection criteria
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, biomaterials and nanotechnology. Website for additional job details https://www.ceric-eric.eu/2026/03/06/open-phd-position-for-the-lemis-project/ Work Location(s) Number of offers available1Company
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https://forms.office.com/e/KfMm59Buts?origin=lprLink Requirements Research FieldArchitecture » OtherEducation LevelMaster Degree or equivalent Research FieldGeosciences » GeologyEducation LevelMaster
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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