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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 6 days ago
sensors # Investigate gas dispersion in different zones of the flotation cell by determining bubble size distributions (e.g., using optical probes) and/or by applying ultrafast X-ray tomography (e.g., ROFEX
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, funded by the European Commission. You can find more information on this project at NEWTON, https://newton-6g.eu/ . The Doctoral Network is led by IQUADRAT, the ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS
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IT Data Network Full Time 88495BR Job Summary The Senior Infrastructure Engineer serves as a key contributor in the planning, design, construction, renovation, and delivery of infrastructure across
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and velocity distributions within the liquid metal. The experimental works are supported by numerical simulations of project partners inside the doctoral network. Within the project duration of 36
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 2 days ago
of international networks, mentoring, and immersive activities in clinical and innovative environments, thereby promoting lifelong learning, the development of professional and cross-cutting skills (including
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the program, scheduling meetings and student defenses, creating and maintaining electronic and physical files, answering the telephone, greeting guests, collecting and distributing mail, managing travel
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SRCD department. The scientific activities of this department mainly focus on communication systems and networks, cybersecurity, and digital law. They cover, in particular, the design of architectures
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and reviving democratic institutions needed for multiracial/ethnic societies. The Talloires Network of Engaged Universities (Talloires Network) is a growing global coalition of 454 university presidents
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on the problem of making distributed machine learning robust to network outages and computational bottlenecks. The work is part of the Norwegian national AI centre SURE-AI, and the PhD student will
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network in which each node can harvest sufficient energy to operate autonomously, irrespective of its location. The project investigates various strategies for efficient energy distribution in IoT networks