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project “Fishing Architecture”, in particular: follow-up of the execution of the various “work packages”; development of archival work, systematization of information and representation of case studies
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emulator of sea ice dynamics, trained using high-fidelity numerical simulations, (ii) variational data assimilation methods, and (iii) a simplified representation of physical processes in the atmospheric
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well as participation in the elaboration of presentation and demonstration events to the public; Representation of the Instituto de Telecomunicações and conduction of the project management activities, within
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conduct independent academic research within the framework of the project and work towards a doctoral dissertation. Your research will examine the contemporary cultural and touristic representation of witch
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on information and digital technologies (computer science, automation, robotics, artificial intelligence). Its aim is to develop methods for the representation, analysis, and control of systems subject to various
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position A new PhD fellowship in path signatures, stochastic analysis, and
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, the VUB is a member of EUTOPIA, an alliance of like-minded European universities, all ready to reinvent themselves. The position is part of the ETRO research group. RDI, a member of IMEC. ETRO. RDI (http
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reproducible research, collaboration, and knowledge sharing. You should meet the following qualifications: A PhD in Electrical Engineering, Robotics, Computer Science, Artificial Intelligence, or a closely
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or microgrids. Expected outcomes include novel methods for device-level uncertainty analysis, system-level uncertainty knowledge representation, and enhanced robustness and reliability of IoE digital twins