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Field
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impacts with tools like AlphaFold, and identify candidates for experimental validation. Molecular cytogenetics: Conduct chromosome analysis, immunolocalization and high-resolution microscopy (3D-SIM, PALM
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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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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 5 days ago
16 Apr 2026 Job Information Organisation/Company Leibniz-Institute for Plant Genetics and Crop Plant Research Research Field Biological sciences » Biology Chemistry » Biochemistry Agricultural
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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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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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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
analysis of parameterized finite‑element models. By integrating data‑driven and FEM‑based approaches, a hybrid model is developed that accurately represents physical relationships while providing real‑time
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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