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or art space, relating to themes such as Archaeology, Architecture, Art, Cultural History, Natural Sciences and Technology and a relation to the overarching theme of the programme next year. Commitment
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innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
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: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry
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cellular mosaicism: the genetic variability among brain cells that can influence tissue architecture, neural function, and vulnerability to transformation. By examining how certain clones expand
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with a master's or diploma degree Fundamental understanding of mixed-signal circuit architecture (e.g., ADCs, DACs) Experience in deep learning, hardware development, or memory technology is a plus
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-level modeling, or computer architectures or even quantum computers can be helpful but is not necessary Enthusiasm for unconventional, interesting interdisciplinary work - especially at the intersection
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their system-level integration Develop design architecture and break down requirements into functional blocks Create and execute test benches for RTL and timing simulations Perform formal verification
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available in the further tabs (e.g. “Application requirements”). Objective The aim of this programme is to promote artistic cooperations with German host institutions. The scholarships are funded by
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research focuses on the study of quantum magnetism at the atomic scale. We build artificial quantum architectures from single atoms and molecules on surfaces and on probe tips, control their spin states, and
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available in the further tabs (e.g. “Application requirements”). Objective The scholarship programme “Leadership for Africa” (LfA) aims to support the academic qualification and advancement of young refugees