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optical communication networks and systems, as well as machine learning, computer vision, and compressing digital videos. Become a part of our team and join our scientific team in the multimedia
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foundations of ML · Explainability, trustworthiness, and robustness of ML · Deep learning architectures and Generative AI · Big data and cloud-based systems · Human-centered data analytics and data
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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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Department 5 of PIK is located. Key responsibilities: The candidate will be expected to contribute to projects aiming to optimize and ex-ante evaluate different components of an architecture for improving
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
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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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Good knowledge of AI and applied Machine Learning Hands-on experience with High Performance Computing Systems Basic knowledge of System Architecture of Supercomputers and NVidia-GPUs Practical experience