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language models will be more. - Educational Qualifications: A completed completed Ph.D. in a relevant field such as Computer Science, Computational Linguistics, Artificial Intelligence, or a closely related
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or Materials Science doctoral programme at the UAB in the framework of the PHYNEST project. PHYNEST is a prestigious new MSCA-COFUND doctoral programme coordinated by the UAB, designed to recruit and train 25
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written English. Willingness to contribute to the Biology teaching program at BSc and MSc levels, in particular in the area of Animal Physiology and Zoology. Interest in working in an interdisciplinary
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | 6 days ago
research programs and activities at the institute beyond their thesis projects. The working language is English. PhD Program: Education component A structured doctoral education complements the research
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About PhD@Tec21 : The Marie Skłodowska-Curie Cofund doctoral programme PhD@Tec21 is dedicated to training the next generation of experts in mechanical and chemical engineering. The programme targets
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Excellent command of German and English We Offer Meaning: We offer meaningful work for the world of tomorrow. Our internal continuing education program is as colorful as the university itself. Collaboration
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» Biomedical engineering Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 28 Nov 2025 - 23:59 (Europe/Lisbon
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Degree Dr Course location Darmstadt Teaching language English Languages The programme is in English only. Participants have to write their doctoral theses in English. Full-time / part-time full-time
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Consortium) financed by the European Regional Development Fund (ERDF), under the Northern Regional Operational Programme (NORTE2030), of Portugal 2030. Scientific Area: Electrical Engineering, Electronic
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programmed in advance. If anything changes, it may fail. This project explores how to build more adaptable systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural language