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Vacancies PhD position on Dependability Driven on Device Learning Algorithms for Embedded Neuromorphic Architectures Key takeaways Edge devices that can learn autonomously while guaranteeing
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attacked by insects. As a PhD candidate, you will contribute to fundamental research in the context of sustainable crop production. You will be embedded in a diverse group of international scientists and
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded
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algorithms, focusing on SNN few-shot, synergic (local-global) and asynchronous learning strategies suitable for real-time and embedded systems scenarios. Finally, you will benchmark the developed system
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well as pollinator health. As a PhD candidate, you will contribute to fundamental research in the context of sustainable crop production. You will be embedded in a diverse group of international scientists and
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better under environmental stresses. As a PhD candidate, you will contribute to fundamental research in the context of sustainable crop production. You will be embedded in two chair groups with
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the Marie-Sklodowska-Curie Innovative Training Network “ANT – Embedded AI Systems and Applications” within the Horizon Europe programme of the European Commission. This Doctoral Network (DN) project ANT aims
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, and stochastic optimization, embracing an interdisciplinary approach. The candidate will be embedded in the Explanatory Data Analysis group at the Leiden Institute of Advanced Computer Science. More
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sequence spaces. You will be embedded in one of the three research groups involved in the ML-GUIDE project and focus your efforts on guiding engineering efforts for one particular biomolecule and its
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or convincingly generate pareidolic patterns. Understanding why this gap between human and machine perception emerges can guide the development of more human-like AI systems. Pareidolia is deeply embedded in human