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Max Planck Institute for Plant Breeding Research, Köln | Koln, Nordrhein Westfalen | Germany | about 2 months ago
, maintenance and troubleshooting on an Aria Fusion cell sorter Sample preparation, cell sorting and data analysis Generation of single cell libraries with 10X Genomics, Singleron and BD Rhap-sody platforms
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and responsibilities Characterization of ion channel functions using electrophysiological, optical, biochemical, molecular, and cell biological methods Analysis and interpretation of experimental data
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application-oriented research that unlocks the potential of data through rigorous analysis – advancing solutions in societally relevant domains. Your profile Master’s degree in Statistics, Industrial
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The Network Analysis and Modelling uses machine learning to investigate how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. We are seeking a
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under cyclone and synoptic wind loads. Develop and calibrate statistical and physical models for wind-induced structural responses using extreme value analysis and experimental data integration. Prepare
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and simulation tools. Research topics include geometric modeling of engineering products, methods of geometric analysis, methods of Building Information Modeling, modeling and simulation of construction
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
of the obtained materials as electrocatalysts Analysis of the activity, selectivity, and stability of electrocatalysts Communication of the experimental data obtained Writing papers and presenting the results
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effector functions. Such understanding is essential for the development of new therapies against cancer and infectious diseases. Further information on our work can be found on our homepage and in our
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team
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a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation