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solve computational problems Awareness of computational infrastructure and its upkeep Ability to work on multiple projects in parallel and set priorities Willingness to provide training to staff and
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strong background in applied mathematics Excellent programming skills (Python, C/C++) Good experience in machine learning and parallel computing Good organisational skills and ability to work both
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The International Max Planck Research School on Trustworthy Computing (IMPRS-TRUST) is a graduate program jointly run by the Max Planck Institute for Informatics (MPI-INF), the Max Planck Institute
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the experimental data and the concepts of neuronal coding, and Elephant Analysis of the parallel rate data for submanifolds and their temporal dynamics during behavior Leverage dimensionality reduction and
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experience in machine learning and parallel computing Good organisational skills and ability to work both independently and collaboratively Experience with deep learning frameworks, such as Tensorflow
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related in space and time and to behavioral events. Core Tasks: Getting familiar with the experimental data and the concepts of neuronal coding, and Elephant Analysis of the parallel rate data for
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parallels, uncovering differences in economic behaviour post-wars vs. post-pandemics. This insight initiated a broader interest in where historical patterns show up today — a thread woven into my career as an