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Number BAP-2025-545 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD is part of the Marie Skłodowska-Curie Doctoral Network “MAGNIFY” and aims to tackle
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skills in Python and Matlab Very good English skills and basic German skills Our offer A vibrant research community in an open, diverse and international work environment Scientific excellence and
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of Sassari (UNISS) is seeking for a Doctoral candidate (DC) to be enrolled as PhD student in the MSCA Doctoral Network (DN) METAMIC 3 (Metaproteome-based leveraged microbiome management in the context of One
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skills, including communication to various audiences, career development, intellectual property and startup-funding. The doctoral candidates will form a strong cohort through participation in seven network
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: Develop an event-driven RL algorithm that sparsely updates network state and parameters that will significantly improve energy to-solution efficiency compared to conventional digital accelerators when
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engineering, computational neuroscience, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from
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Skłodowska-Curie Actions Doctoral Networks (MSCA DN) aimed at reinterpreting the concept of decadence. Traditionally associated with decline, the term will be explored through new perspectives, focusing
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
-tech industries (HTI), and communities to cascading hazards, particularly NaTech (Natural Hazard Triggering Technological) events. REUNATECH is a Horizon Europe Marie Skłodowska-Curie Doctoral Network
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community. We develop and commercialize simulation tools, as well as measurement equipment for all-in-one electro-optical device characterization and for device stability assessment. Our R&D tools are used
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are inviting qualified applicants to apply for a doctoral student position in the European Marie Sklodowska-Curie Training Network programme FADOS. The successful candidate will join a cohort of 17 Doctoral