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faculty members from other institutions as well a up to 200 short/long-term visitors per year. Further information can be found at https://www.ictp.it/hecap/people There is also a close collaborations
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on the theoretical and experimental study of electric generators based on fuel cells and the study of electrolyzers. Specifically, the research will concern the development of new techniques and investigative
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the Distributed AI for dependable cyberSecuritY (DAISY) Unit, of FBK-CS, which focuses on developing novel AI-driven methods for cyber threat detection in distributed computing environments, with a particular
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to join the research activities and interests of MoMiLab, with a specific focus on the development and implementation of advanced techniques for the preprocessing and analysis of naturalistic and resting
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linear algebra, numerical methods for PDEs and dynamical systems, stochastic methods in statistical mechanics, hydrodynamic limits, interacting many-body systems, quantum macroscopic evolution equations
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. They will also take part in dissemination activities, project acquisition, coordination of events, and development of strategic initiatives for the Center. Where to apply Website https://jobs.fbk.eu/Annunci
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relation to Italian and European colonialism”. European universities and museums have developed innovative approaches to examining colonial connections through the analysis of their material legacies
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“Biotechnology, bioinformatics and pharmaceutical development” of the Health Operational Plan, Action Line 4.1 “Creation of Life Sciences Hubs”, project local code T4-AN-10 – CUP MASTER: G33C22000550001 – CUP
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an international, collaborative environment. The Role The Mountain Cryosphere Group is seeking a motivated Postdoctoral Researcher (within 3 years of PhD completion) to develop innovative workflows for monitoring
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intelligent robots. Developing adaptive learning and deployment frameworks enabling secure, trustworthy, and robust operation of AI models embedded in CPS. Conducting empirical and experimental studies at scale