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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 2 months ago
grant from the German Space Agency (DLR) and by an ERC Advanced Grant (eCMZs) for the study of interstellar medium and star formation properties and physics in the centers of nearby galaxies. The analysis
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design based on stakeholder interaction model-based analysis of various technology and policy solutions participation in project meetings presentation of results at international conferences publication
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large multi-dimensional datasets using statistical tools such as positive matrix factorization (PMF) and cluster analysis Investigate the influence of different urban emission sectors on atmospheric
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: Analysis and Geometry Appl Deadline: 2025/07/13 11:59PM (posted 2025/06/06, listed until 2025/08/25) Position Description: Apply Position Description In the Faculty of Faculty of Computer Science
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based on stakeholder interaction model-based analysis of various technology and policy solutions participation in project meetings presentation of results at international conferences publication
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To strengthen our team in the division “Inorganic Trace Analysis” in Berlin-Adlershof, starting for the next possible date, we are looking for a Postdoctoral Researcher (m/f/d) in the field
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The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises seven non-university research institutes in Berlin
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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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transcriptomic and single-cell analysis of organoid models and patient biopsy samples. What you bring to the table PhD in biology, biochemistry, molecular biology, cell biology, immunology, or related discipline
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infrastructure. The position entails active involvement in both experimental procedures and computational data analysis, alongside the improvement of advanced methodologies, including single-cell proteomics