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Field
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RNA sequencing workflows and basic bioinformatics • Experience with Python and R for transcriptomic data analysis We offer The position (TV-L13 (65%) salary according to German public sector regulations
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manipulation and workflow development (Bash essential, familiarity with Python or R highly desirable); Experience in biostatistics or data integration (advantageous); Fluent written and spoken English; Ability
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or similar areas, and fully comply with the following requirements: The doctoral degree must have been obtained at least 1 year ago; Proven experience in GIS environment analysis (QGIS, ArcGIS, R), statistical
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, AquaCrop) or experience with agricultural or environmental modelling. Some experience with programming in R and/or Python. Exposure to climate or weather data, forecasting systems, or geospatial tools
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), 084004, 2025. [2] M. Bestehorn, D. Sharma, R. Borcia and S. Amiroudine, “Faraday instability of binary miscible/immiscible fluids with phase-field approach”, Phys. Rev. Fluids, 6, 064002, 2021. [3] A
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Science or related field Strong skills in quantitative methods and a strong command of R or another statistical programme Motivation to conduct independent research on your PhD as well as work together
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, statistics or fluid dynamics Excellent knowledge of statistics Proven knowledge of Python, R, Matlab or a similar programming language Experience with Linux/UNIX environments Excellent oral and written
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hearing science, or a related discipline, and a keen interest in developmental research. Prior experience with experimental design, data analysis (preferably in R), eye-tracking, or developmental
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and methodological skills. Candidates will handle data preprocessing and analysis, ideally with proficiency in Python, R, or MATLAB. Collaboration within a multidisciplinary team is essential, as both
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-domain context. Good knowledge of programming languages (e.g. Python, R, Java, C#, C++) Good knowledge of object orientation and at least basic knowledge of UML Knowledge in the field of machine learning