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often take place in the high-tech, health, and educational sectors with the intention to understand, evaluate, and optimize (inter)professional and (inter)organizational learning, collaboration, and
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(PICs) increasingly used in various applications. To allow a smooth design flow for these PICs, optimized compact models are needed. This PhD position is enabling compact models for optical amplifiers and
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/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques
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on the results of the Erasmus+ project EDDIE. When it comes to the research part: This PostDoc project explores how artificial intelligence (AI) can be leveraged to optimize energy portfolios for local energy
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technologies) Laboratory & Test Facility Management (Ability to plan, operate, and maintain lab/test facilities, including resource allocation, safety, and process optimization) Industrial oversight (Ability
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allocation, safety, and process optimization) Industrial oversight (Ability to guide, monitor, and assess industrial or external partner activities to ensure delivered solutions align with technical
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design next-generation computer architectures for running large AI models on embedded and edge systems under strict timing, energy, and memory constraints. You’ll explore hardware-aware optimization and co
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Job related to staff position within a Research Infrastructure? No Offer Description Would you like to contribute to reducing health inequalities by co-creating, evaluating, and optimizing an adapted
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/358908/phd-position-accelerating-genet… Requirements Specific Requirements a highly motivated person with a strong interest in methanogenesis and the estimation of variance components to optimize animal
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chip quality and reliability while optimizing overall test costs. The platform enables faster and more accurate diagnosis and yield learning, reduces in-field failures in various critical applications