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Your Job: In this Master’s thesis, you will investigate the impact of different programming algorithms on the stability of resistance states using a sophisticated 3D Kinetic Monte Carlo (KMC) model
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experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and machine learning methods in the context of biological systems Experience with programming (e.g
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data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will
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Research Associates (Doctoral Candidates) (f/m/d) within the Cluster of Excellence “The Ocean Floor"
doctorate. International applications are expressly encouraged. We aim to increase the proportion of women and strongly encourage female applicants to apply. The Cluster of Excellence is a joint project of
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to investigate mechanical properties under application-relevant conditions Microstructural characterization using advanced optical and electron microscopy techniques Analysis and correlation of mechanical behavior
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21.07.2025 Application deadline: 17.09.2025 The Institute of Romance Languages and Literatures at the University of Tübingen invites applications for a position as a W1 Professorship of the
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 5 days ago
operates state-of-the-art astronomical instruments for both ground-based and space-based applications. MPE is divided into four major research areas: High-Energy Astrophysics, Infrared/Submillimeter
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of X-ray methods Knowledge of X-ray optics Knowledge of synchrotron science Knowledge of catalysis and energy storage Experience with programming languages (ideally Python), SPS controls system Fluent in
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learning and advanced statistical modeling * Proficient programming skills in Python and/or R, experience with machine learning and omics analysis libraries (e.g., scikit-learn, TensorFlow/PyTorch
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07.07.2025, Professuren Technical University of Munich (TUM) and the Leibniz Institute for Food Systems Biology at the Technical University of Munich (Leibniz-LSB@TUM) jointly invite applications