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scientific questions Proficient use of scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab) Basic knowledge of scientific data analysis and statistical evaluation Good knowledge of MS
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the application of molecular biological methods experience in the statistical analysis of research results or willingness to acquire such experience very good knowledge of MS Office, including Word, Excel and
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scientific questions Proficient in scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab, SRIM/TRIM) Basic knowledge of scientific data analysis and statistical evaluation Good command
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of Econometrics and Statistics, esp. in the Transport Sector and co-supervised by Prof. Dr. Klaus Bogenberger, Chair of Traffic Engineering and Control, TU Munich. Requirements: Excellent, very good or good
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research Academic Requirements Master of Science (MSc) or academic equivalent Applicants who have not yet obtained their Master’s degree should have completed the Master’s degree no later than 6 months after