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Leibniz Institute for Plasma Science and Technology | Greifswald, Mecklenburg Vorpommern | Germany | 19 days ago
their immunogenicity; Develop analysis strategies for large data sets and correlation matrix using programming languages (R, Python, SQL, etc.); Scientific supervision of undergraduate and doctoral
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relationships between structure, morphology, performance (reactivity, selectivity, efficiency), and degradation mechanisms under realistic deployment conditions Participation of beam times at international large
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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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University & Research is the university and research centre for life sciences. The themes we deal with are relevant to everyone around the world and Wageningen, therefore, has a large international community
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sciences. The fellow will work alongside Dr. Leslie McClure, Dean of CPHSJ, and contribute to the development and application of advanced statistical methodologies to analyze large-scale health-related
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centre for life sciences. The themes we deal with are relevant to everyone around the world and Wageningen, therefore, has a large international community and a lot to offer to international employees
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written and spoken communication skills.Preference will be given to applicants with demonstrated expertise in energy systems analysis, in the collection, processing, and integration of country-specific data
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6 Nov 2025 Job Information Organisation/Company AALTO UNIVERSITY Research Field Computer science Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Finland
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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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of cellular aging, resilience, and fibrosis. Responsibilities Develop and implement analytical pipelines for large-scale single-cell, spatial, and multi-omics data integration Build and apply machine learning