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dynamics of these devices to perform complex learning tasks with extreme energy efficiency. Your Job: Develop and apply meta-optimization that can automatically search for the best algorithm-hardware pair
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and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image
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prominent approach to AI, with impressive performance in many application domains, including materials discovery. This development has a huge potential for societal impact, with applications in renewable
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renowned for its research into materials for extreme environments, offering state-of-the-art facilities and strong industrial collaborations. The project will be supervised by Dr Gregory Bizarri, an expert
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systems, and husbandry practices. This Ph.D. position aims to gain new knowledge on fish microbiome-health & welfare dynamics, the development, stability, and resilience of microbiomes and performance and
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– depending on the successful candidate’s background and interests. Your tasks: Develop new exact and approximation algorithms and perform complexity analyses for optimization problems on (temporal) graphs
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mitigation strategies to prevent performance losses due to these impurities. We will explore both experimental techniques as well as computational models to provide feedback for designing higher efficient
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grant. More concretely your work package, for the preparation of a doctorate, contains: Are you a computer sciencist with an interest in psychology? Do you want to advance the state-of-the-art in
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). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR
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exciting opportunity to work at the intersection of composites structures and composites manufacturing with a particular focus on sustainability. The PhD project aims to develop state-of-the-art