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projects to diverse audiences • Business fluent in English and German, both in written and spoken form • Experience with word processing, worksheet, database, data analysis, and graphics software
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, data analysis, and publication efforts under the professor and senior scientist's guidance. There will also be a limited amount of teaching involved in required, elective, or studio courses depending
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practical skills in statistical analysis, data integration, backend or frontend programming and database design. Interest in understanding technologies e.g. proteomics and metabolomics using mass
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to integrate experimental data with mathematical models. • Contribute to the preparation and analysis of data for publication and presentations. The following qualifications will be of advantage: • Ph.D. in
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PostDoc (m/w/d) position on “Biological engineering of novel gene reporters for Electron Microscopy”
the systematic analysis of function-ultrastructure relationships in brains with implications for our understanding of neuropsychiatric diseases and inspiration for neuromorphic computing. Your Ideal Qualifications
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their studies within the next 6 months are welcomed. • Very good knowledge in statistics and, preferably, bioinformatics; esp. in hypothesis testing, power analysis, experimental design, regression, statistical
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of scenarios Methods for scenario-based virtual and real testing of modules and overall software and their evaluation using appropriate metrics Concepts and analysis of optimal overall software architecture and
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for the analysis of high-dimensional immunological data sets. Our laboratory (Zielinski lab) focusses on human T cell regulation in health and disease. We are currently deciphering the heterogeneity and regulation
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requirements of the position, extensive professional or research experience in the fields of Earth observation is required. The holder of the position will be responsible for the following tasks: Market analysis
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Learning in Earth Observation (ML4Earth). AI methods, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University