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and analysis Assist in compiling and cleaning datasets Assist with documenting research processes and maintaining organized research files and datasets Assist with data visualization, tables, and
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systems. Key Responsibilities Develop graph-based (multi-)omics analysis algorithms Benchmark graph-theoretic against graph-ML approaches Analysis of food-related (multi-)omics data Your Profile The ideal
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models
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of cell populations from omics data Performing phenotypic assays to validate the cellular heterogeneity The analysis of generated data and communication within an interdisciplinary team made up of people
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for data acquisition and analysis (e.g., Python or LabVIEW) are highly desirable. After a training period, you will operate and maintain the fast EC-STM system and contribute your own ideas to the project
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Zeppelin airship Apply advanced data analysis methods, including statistical tools and programming, to large multidimensional datasets from chamber and airborne experiments Present your results
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collaborators within WHIRLS. Qualification Required: Completed master studies in oceanography, marine sciences, climate science, or another related field Experience in the analysis of data sets using programming
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The analysis of generated data and communication within an interdisciplinary team made up of people working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab
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The analysis of generated data and communication within an interdisciplinary team made up of people working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab
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13 Mar 2026 Job Information Organisation/Company Christian-Albrechts-Universitaet zu Kiel Department Department of Mathematics Research Field Mathematics » Other Researcher Profile First Stage