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Field
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(CAITE) whose aim is twofold. First, it aims to bring AI at the edge, by providing scalability and resource efficiency through the development of cooperative, distributed AI algorithms, optimising data
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constraints, focusing on long-term reliability and autonomy. Robust operation and control of decentralized PV-battery systems: Explore control algorithms and operational approaches that maintain stable
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for image classification and other domains against existing open source LLM (e.g., Llama 3, Phi-3), as well as develop new kinds of attacks, for example based on evolutionary algorithms. 2. Investigate
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, or experimental protocols that can support further research. The work may also contribute to collaborations with industrial partners, or the development of new methodologies and algorithms, enhancing both
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and checked by an independent third party, and even (3) rigorous evaluation of algorithmic improvements.For some inspiration on this topic, see the CertiFOX project page: https://www.bartbogaerts.eu
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development of the multimodal neuromonitoring system. Tasks will include: Integrating a discrete impedance measurement prototype into an existing in-ear earpiece equipped with an EEG sensor. Conducting clinical
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algorithms, the method can automatically discover both the rules and probabilities needed to model complex graph behaviors, offering a more interpretable and verifiable alternative for future AI systems
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, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence
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funded by the Research Council of Norway (2025-2030). The primary objective is to create a new generation of algorithms for inference and decision-making by pushing the boundaries of the underlying
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algorithms to guarantee the reliable operation of semiconductor machines, together with a highly innovative industrial partner in the Brainport region. If all these sounds fascinating, then this PhD position