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Leibniz Institute for Plasma Science and Technology | Greifswald, Mecklenburg Vorpommern | Germany | 8 days ago
» BiochemistryEducation LevelPhD or equivalent Skills/Qualifications PhD in biology, (bio)chemistry, bioinformatics or a related field High affinity to data and large-data-driven science, as well as strong logical
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data assets, and in the context of the world’s largest longitudinal population studies, many hosted here at the Big Data Institute, as well as other international initiatives. To be considered, you must
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. This ambitious initiative aims to partition the genetic risk of metabolic diseases by integrating multi-modal single-cell sequencing, spatial omics, and large-scale GWAS datasets. The project will be based
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project focused on systematically exploring the impact of the exposome on complex disease risk, through the lens of multi-omics data (e.g., genomics, proteomics, metabolomics and biochemistry) from large
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data for urban characterization. The work includes developing algorithms, performing large-scale analyses, and collaborating with partners across disciplines in remote sensing, urban studies, and climate
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30 Sep 2025 Job Information Organisation/Company University of Tuebingen Research Field All Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Germany Application
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) Experience in data processing, statistical analysis, and scripting in R Practical experience with laboratory animal experiments and/or with large-scale studies of animals in the field Assessment criteria and
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position
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associated land use changes, it is fundamental to understand the patterns, drivers and effects of vegetation fires in order to prevent fires and reduce harm to ecosystems and societies. Collecting data on fire
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sciences using a range of quantitative methods. The division has around 50 staff members, faculty, and PhD-students with diverse expertise including engineers, natural and social scientists. The Department