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, as well as from industry. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294560/phd-research-fellow-in-deep-learning-for-medical-imaging-and-multi-modal-data-in
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researchers and PhD students. The research groups conduct research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as
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the Job related to staff position within a Research Infrastructure? No Offer Description Two PhD positions in machine learning in our group. One funded by WASP---Wallenberg AI, Autonomous Systems and
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, S/NGeofield Contact State/Province Madrid City Madrid Website https://www.upm.es/ Street C/ Ramiro de Maeztu, 7 Postal Code 28040 E-Mail director.diac.etsist@upm.es STATUS: EXPIRED X (formerly Twitter
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wave attenuation for discriminating microstructural effects of thermal damage from moisture conditions in concrete, NDT & E International, 156, 2025. https://doi.org/10.1016/j.ndteint.2025.103473 [2] Y
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 4 days ago
of enrollment at a PhD which must be presented at the time of contract signature; v) motivation letter; Applications must be submitted at https://welcome.isr.tecnico.ulisboa.pt/opportunities/ Where to apply
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obtained at: https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition . Where to apply E-mail lasige-candidaturas@listas.di.ciencias.ulisboa.pt Requirements Research FieldComputer scienceEducation
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expertise in HCI and education, including adaptive gamification, engagement, learning analysis, and the design of motivational affordances in education. As part of the project, the PhD student will work with
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comprehensive platform for data extraction, analysis, and version control, providing access to highly curated datasets in a machine learning-friendly format. This PhD is part of the CARES project (Chemically
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engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. The successful candidates will have the following preferred qualifications: A PhD in Biology or