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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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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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: 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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, proliferated space systems, space sustainability challenges, solar sail fleets, constellation design and management, as well as space logistics architectures. Your main Responsibilities Perform original and
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the third largest in all of Germany. It is a major centre for higher education, research, technology, and the media. Downtown campus The architectural centrepiece of LMU Munich is its historic main
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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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their antennae. Together with previous studies, this suggests the existence of different mechanisms for the development of the olfactory system in ants and adds possible variants of neural circuit architecture
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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
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The research group Genetics and Physiology of Root Development studies crop root anatomical and architectural traits. Research is mainly focused on cereals including barley, wheat, and maize. We
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of IC design with a focus on new architectures of CMOS backplanes. What you will do Developing, implementing and experimentally testing concepts for CMOS backplanes for OLED microdisplays Designing analog