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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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SoC architecture Drive design reviews, create design documentation, and support post-silicon bring-up and debugging Write research articles for journals and conferences What you bring to the table
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architectures, capable of capturing the structure of complex, high-resolution NMR spectra – analogous to how language models such as ChatGPT learn the structure of human language. One of the primary goals is to
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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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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | 3 months ago
the International Max Planck Research School for Evolutionary PhD, a well-established program with a vibrant research community and outstanding infrastructure. Project 1 - Genetic and adaptive architecture
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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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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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architecture Design software architectures, and develop software libraries and perform computational simulations Lead the development of a state-of-the-art immersive visualization facility Lead the development
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and the Study of Religion Psychology and Educational Sciences Cultural Studies Languages and Literatures Social Sciences Mathematics, Informatics and Statistics Physics Chemistry and Pharmacy Biology