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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: You will strengthen the data science and machine learning
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data collection and metadata extraction protocols to enhance machine learning-based software applications for materials science. Your Profile: Master’s degree in Engineering, Computer Science, Physics
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non-von Neumann computing hardware blocks for AI, optimization, probabilistic computing, and scientific computing. Machine learning, deep learning and algorithm development, co-designing with mixed
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scientific computing. Machine learning, deep learning and algorithm development, co-designing with mixed analog-digital circuit blocks Associative computing from both a circuits and algorithms perspective
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Infrastructure? No Offer Description Work group: JSC - Jülich Supercomputing Centre Area of research: Promotion Job description: Your Job: You will join the Simulation and Data Lab `AI and Machine Learning
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to identify degrading enzymes from different data resources Using Hidden Markov Models and similar tools as well as machine learning for the identification of novel and better enzyme variants from a
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disciplines with PhD Extensive knowledge of machine learning/artificial intelligence and big data science Extensive knowledge of programming languages (ideally Python) Basic knowledge of synchrotron research
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Your Job: You will strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work with a multidisciplinary team of enthusiastic data scientists
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setups Conducting numerical predictions to assist in the design and optimization of SOC stacks/systems Supervising (PhD) students involved in related topics Summarizing and publishing results in scientific
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potentially supporting experimental setups Conducting numerical predictions to assist in the design and optimization of SOC stacks/systems Supervising (PhD) students involved in related topics Summarizing and