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at the Bioinformatics Group within PSG. This research group focuses on fundamental and applied bioinformatics research in the green life sciences. In particular, they develop and apply novel computational methods
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attention and cognitive processing. You will work in a multidisciplinary team using cutting-edge experimental methods, including eye tracking, pupillometry and behavioural paradigms, to advance our
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vacancy for a postdoctoral researcher in Data Science and Artificial Intelligence. In this position you will develop advanced computational methods for the analysis of large-scale multimodal cardiovascular
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you will develop advanced computational methods for the analysis of large-scale multimodal cardiovascular data, including electrocardiograms, cardiac device recordings, wearable sensor data, clinical
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groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative projects with other group members and our
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theoretically, in tight collaboration with experimental groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative
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-disciplinary domain. Specific research topics to apply to bioacoustics might include: low-footprint machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods
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correlation. In this work, we apply equation-of-motion coupled-cluster (EOM-CC) methods to adequately account for electron correlation. Furthermore, for lanthanide systems, we will use a two-step state
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multimodal. Furthermore, law enforcement agencies cannot afford to share sensitive data with external parties, so methods must avoid external cloud APIs and be light enough to run on limited hardware. Your job
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holographic systems out of equilibrium, with possible topics including dynamical and cosmological horizons, gravitational entropy, Noether charge methods, holographic coarse-graining, chaos, black hole heat