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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | about 1 month ago
Analysis of experimental results Expertise in spectroscopic measurements and/or Scanning Probe Microscopy is of advantage Qualifications and skills University degree and PhD in physics Ability to work in a
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physics Comprehensive background in experimental low temperature physics Characterization of materials with respect to transport, thermodynamic and magnetic properties Analysis of experimental results
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analyzing data from a Germanic language and a typologically different language (e.g., a Romance language), based on independently developed research questions. Research planning and parts of data analysis
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, oceanography, physics or mathematics, with a strong interest in the application of statistical and data analysis methods #excellent knowledge in UNIX/Linux and Unix-Scripting #very good knowledge in programming
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degree and PhD degree in meteorology, oceanography, physics or mathematics, with a strong interest in the application of statistical and data analysis methods excellent knowledge in UNIX/Linux and Unix
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, or similar disciplines Graduate students expecting to receive their PhD within six months can also apply Experience in the advanced analysis of genetic or proteomic data Interest in learning methods
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Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: Chair for Numerical Analysis, Prof. Dr
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developing computer-vision systems for faunistic data analysis Present project goals and achievements in national and international scientific conferences Supervise technicians and students in training data
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, you must have a PhD in a relevant field. As a suitable candidate, you have expertise in working with (ideally geostationary) satellite data and experience with scientific data analysis. Prior use
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Contract:TV-L Your tasks The available research projects aim to understand and develop strategies to treat heart disease You will combine epigenetic, chromatin interaction analysis and single-cell approaches