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of Computer and Information Science, and the STING partner sites. You should enjoy working as part of a team and be willing to learn from your co-workers and share your knowledge and experience with them in
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modeling, optimization, and reinforcement learning; prior experience with EU projects is a plus. The workplace The Department of Computer and Information Science was founded in 1983 but its roots go back to
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properties under decompression or are even directly synthesizable at ambient conditions. We will use density functional theory based calculations, machine learning based techniques and work in close
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interactions and phonon renormalization in different materials. To accelerate the simulations, we also expect the application of some machine learning approach. As postdoc, you will principally carry out
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Machine learning methods High performance computing Multivariate analysis As a person, you are self-motivated and structured. You easily adapt to changing circumstances and find it easy to cooperate with
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your application! We are searching for a Postdoc for research on deep learning for pathology diagnostics at the Department of Science and Technology. The position is part of a joint collaboration between
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your application! We are now looking to appoint up to two postdocs in the field of Cybersecurity in Future Networks as a Critical Infrastructure formally based at Dept. of Computer and Information