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in Python with knowledge of NumPy, Pandas, SQL, Bash, Docker, git, etc. Willingness to clean large, messy datasets Excitement about clean, structured code Conscientiousness in implementing, testing
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, chemical engineering, or a related field Experience in modeling (e.g. using Aspen, AVEVA, Python) is an advantage but not required Knowledge of thermodynamics, process engineering, and electrochemistry is a
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) Collecting and analyzing experimental data (using MATLAB, Python, Excel, etc.) Preparing figures or reports for presentations or publications What you bring to the table Basics of microfluidics and micropumps
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(e.g. Python) preferable You have already taken on responsibility, e.g. in supervising doctoral students, leading small teams or in coordinating research roles, and would now like to develop
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Python programming, allowing you to broaden your research experience besides your studies. Furthermore, you will collaborate with a highly experienced research team with interdisciplinary backgrounds. Here
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experience in NGS data analysis. relevant experience in statistical data analysis and programming (e.g. R, Python, Perl, C++) as well as with workflow management systems (e.g. snakemake, CWL, Nextflow
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knowledge of statistical programming (e.g. Stata, R, or Python) - very good knowledge of English and German - very high level of personal responsibility and motivation as well as ability to work in a team
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studying Mechanical, Civil or Wind Energy Engineering in a master´s program. Do you have experience using Python and have already had some touchpoints with wind energy and system engineering? You understand
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technologies (e.g., Python, R, GIS, databases) Relevant experience in data collection, data analysis, and research data management Understanding of the national and international scientific environment and
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qualifications Leadership skills, management training, and experience in managing teams Knowledge of data analysis technologies (e.g., Python, R, databases, text analysis) Experience in working with sensor