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Doctoral and Postdoctoral Researcher Positions in the Cluster of Excellence “Balance of the Microver
microbiome stability, resilience, and tipping points, using model systems and clinical data to uncover what drives changes from health to disease Our Microverse Mission: We integrate insights across ecological
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production of bacteria via mass spectrometry Statistical analysis of the resulting data The successful candidate will have the opportunity to work towards a PhD Required qualifications: University degree (M.Sc
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strategies in accordance with ISO 19880-9 Independent performance of experiments with gas measurement technology and data collection and analysis using Origin, KNIME, and/or Python Writing project reports in
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processing methods, mechanistic computer models and software tools and to use them in highly relevant clinical, biotechnological and pharmaceutical applications at the forefront of research. All projects
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
/d) in applied topology for biology. The successful candidate will conduct research in applied topology, including topological data analysis, stochastic topology, network analysis and computational
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publications, diplomas, a two-page research proposal and contact information of two persons who can provide a reference letter. Please send your application electronically (one pdf-document
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production of survey data, as well as in the analysis and publications produced in this context. Job description: • Theoretical and data-based scientific contributions on the relationship between attitudes
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Senior Fellowships should also include information on a possible contribution by the home institution to the costs of the research stay at the Kolleg. The Alfried Krupp Wissenschaftskolleg assumes
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analysis of NGS data (ChIP-seq, CUT&Tag, RNA-seq, ATAC-seq) Demonstrated ability in writing scientific reports and papers Proficiency with MS Office, graphic programs (Illustrator, ImageJ), statistical
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team