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performing data analysis of B cell receptor repertoire data using programming languages (mostly R) Successful candidates can think independently, are eager to acquire necessary new skills, and are excellent
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and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis, modeling and simulation. The advertised position is partly funded by the German Research
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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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field • Is fluent in English • Is interested in finding innovative, creative solutions • Has good programming/data analysis skills • Is experienced or at least strongly interested in one
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in the STEM disciplines are primarily attributable to the genius of individual visionary figures or rather to synergetic team efforts. Through a systematic analysis of at least 50 key examples from
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cytometry methods Experience with cell culture techniques is highly desired Previous experience with genomics approaches and data analysis is a plus. Interest in working in a project with wet and dry lab
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/ coding and data analysis software Independent, structured, and goal-oriented working style Please provide evidence of the qualifications required for the job by certificates and references. Please indicate
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on the analysis and interpretation of the GNSS observations as well as on the application of geological and glacial-geomorphological findings for the reconstruction of ice-load history in Antarctic regions
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and Marine Research. The tasks include: scientific advancing methods of satellite altimetry analysis over the Antarctic Ice Sheet analysis of measured surface elevation changes in conjunction with
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two-dimensional materials: spectroscopic investigations of two-dimensional semiconductors, measurements and analysis using linear and non-linear microscopy. The scientific work further includes