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deployment; building research software (e.g., Python packages, database systems) and other open-source tools for computational social science research. Other potentially relevant experiences and skills include
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(ideally in Python and C++) Excellent mathematical and data analytics skills Ability to work independently and be self-motivated, but also have excellent teamwork skills Experience in medical image
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particular to separate natural variations and technical noise Expertise with geomagnetic activity indices, in particular Kp and Hpo Programming skills in Matlab and Python Very good command of English (spoken
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 11 days ago
science, or a related field Strong background in signal processing, data analysis, and statistical modeling Programming skills in Python and experience with reproducible workflows Experience working with
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. To present their work at seminars and at external meetings. To contribute to the Donders scientific community through collaborations, workshops and talks. Where to apply Website https
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. Further develop of Matlab and Python codes for medical image analysis. Perform advanced statistical analysis using RStudio. Where to apply Website https://jobs.vhir.org/jobs/7291134-predoctoral-researcher
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Website: https://www.systemshematology.org (link is external) How to Submit Application Materials: Please email Asiri (asiri at stanford.edu) Does this position pay above the required minimum
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 19 days ago
modelling Proven skills in Fortran, Python or a similar programming language Skills in the processing, statistical analysis and visualization of data Very good English knowledge (approximately equivalent to
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environmental and ecological data; knowledge of, or interest in, statistical data analysis using programming tools (R, Python, MATLAB, or equivalent); and the ability to work collaboratively in interdisciplinary
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ability to evaluate code quality, architecture, and technical debt. Experience developing software using programming languages common in academic research, such as Python (expert-level), R, C/C