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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden-Württemberg | Germany | about 1 month ago
required for the completion of the project. Hi-C and Micro-C analysis Adapting multi-way contact genomic tools for Drosophila Building visualization framework for Pore-C data Image analysis Programming
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(longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systematic review methods), and statistical analysis (data visualization, descriptive analyses, time
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graduate training or previous position. Preferred Experience Candidates with experience in flow cytometry, single-cell analysis, quantitative imaging, and routine use of R or Python for data analysis
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and analyzing large-scale sequencing data, and designing and automating robust pipelines for data summarization, visualization, and quality control. You will also support ongoing research projects by
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statistical analysis, data visualization, and bioinformatics approaches. Ability to work independently and collaboratively in a multidisciplinary research team. Familiarity with laboratory safety and
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, or real-time data analysis. Familiarity with data visualization, reproducible research workflows, version control, and collaborative coding practices. Interest in translating computational methods
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and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses, time series analyses, latent modelling
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and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses, time series analyses, latent modelling
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, and agricultural impacts, among others. Successful candidates will be involved with observational data analysis, numerical modeling of natural hazards, and outreach to local stakeholders. Candidates
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AI/ML. ● Collaboratively design and implement tools for Warn-on-Forecast (WoFS) and ensemble model integration with PHI, data analysis, visualization, verification, explainability, and other