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sociological investigation that will inform the project, the constitutional dimension will constitute its primary focus. Where to apply Website https://www.unimore.it/it Requirements Additional Information
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experiences. Where to apply Website https://secure.dc2.pageuppeople.com/apply/513/aw/applicationForm/initApplicatio… Requirements Research FieldCommunication sciences » Media studiesEducation LevelPhD
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 3 months ago
electronic simulations will also be addressed. Where to apply Website https://pica.cineca.it/unipd/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: OTHER
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2 Sep 2026 Job Information Organisation/Company Università degli Studi di Brescia Research Field Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2) Leading Researcher
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integrating AI with vision at the edge. Despite recent advancements, the synergy between AI and computer vision remains constrained by fundamental imaging bottlenecks. Conventional HDR techniques frequently
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 3 months ago
evaluation, gradually extending the system's ability to recognize, extract, and classify an increasing range of exercise types. Where to apply Website http://www.unibo.it Requirements Additional Information
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on the analysis, experimental characterization, and modeling of electromagnetic compatibility (EMC) phenomena in power electronic equipment and systems. In particular, it will address the development
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» Electronic engineeringEducation LevelMaster Degree or equivalent Additional Information Website for additional job details https://www.unina.it/it/ateneo/concorsi-e-borse-di-studio/incarichi-di-ricerca Work
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-ARPES studies of the electronic and spin-resolved electronic structure of quantum materials and engineered layered structures, exploiting a photon-energy range complementary to laser ARPES and other
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of renewable energy sources, with a focus on wind and solar power plants. By integrating meteorological observations, high-resolution numerical models and machine learning algorithms, highly accurate forecasts