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-scale research facilities (e.g. DESY, ESRF), including coordination and setup of experiments Development of data workflows and analysis strategies (in collaboration with our machine learning team
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comprehensive understanding of C-switches as versatile regulators in biology and contribute to global efforts to combat antibiotic resistance. Tasks: biochemical, biophysical and structural biological analysis
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 2 months ago
or procedures. Essential qualifications PhD (or near completion) in Mathematics or a closely related field. Strong expertise in algebraic topology and data analysis, aligned with the research interests of MPI-CBG
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sequence data analysis and/or virology is a plus Strong commitment, team spirit, very good communication and organizational skills, and ability to work in an independent and flexible manner PhD degree in
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08.09.2025, Wissenschaftliches Personal with a strong connection to partial differential equations (numerics / analysis / modeling) (100%, TV-L) is available starting immediately. The position in
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partner from data sciences provides data management and AI based Image analysis, an internal experimental group, and an internal simulation-sciences group (You+Supervisor+support by lab
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | 26 days ago
01307, Germany [map ] Subject Areas: algebraic topology, applied topology, data analysis Appl Deadline: 2025/11/16 11:59PM (posted 2025/10/14, listed until 2025/11/16) Position Description: Apply
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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21 Oct 2025 Job Information Organisation/Company University of Hamburg Department Department of Earth System Sciences Research Field Environmental science » Earth science Researcher Profile
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or natural sciences Sound knowledge in machine learning algorithms, statistical methodologies, and biological network analysis Experience with the analysis and integration of transcriptomic and multiomics data