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in the field of software architecture for neuro-symbolic AI. The project will investigate how this unique combination of deep learning and symbolic reasoning AI methods influences important
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system operations and develop an appropriate system architecture for TSO and DSO. Real-time system operations uses available network capacity more efficiently than is possible in the present paradigm. It
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for the implementation of real-time system operations and develop an appropriate system architecture for TSO and DSO. Real-time system operations uses available network capacity more efficiently than is possible in
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needs; fostering new application areas for multidisciplinary activities, placing emphasis on innovative concepts, cutting-edge technologies and system architectures; defining relevant infrastructure
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consistency models. These models rest on a joint foundation of deep learning architectural research and mathematical theory. They therefore present an exciting research area for theoretically minded individuals
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, the postdoc will contribute and lead several deliverables in this EU project. In a nutshell, your work will be to develop the blueprint architecture of the digital twin for energy valleys. This includes
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of different predictive neural architectures. The experimental and computational work will be conducted at the Donders Institute for Brain, Cognition and Behaviour at Radboud University (Nijmegen, Netherlands
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the architecture of the human brain. This project aims to co-develop algorithms for neuromorphic hardware, focusing on the inherent stochasticity in neuromorphic materials. This will pave the way towards solutions
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planning and strategy bij Architecture faculty) and dr. Joep Storms (faculteit civil engineering geo science). You will be employed by Deltares and based at Deltares in Utrecht. With the possibility to work
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sustainability improvement recommendations can leverage energy profiles. What are you going to do? Tasks and responsibilities: Conducting research in GDPR-compliant architectural requirements, resulting in