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security - A very good knowledge in programming (such as in C, Java or Python) - In-depth understanding of computer systems (assembly code, compilers) Additional Information Work Location(s) Number of offers
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Compétences approfondies de programmation en R ou Python Une première expérience d'analyse de données génomiques ou en biostatistique est recommandée. Forte appétence pour le travail multidisciplinaire et en
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programming experience with Python are beneficial but not required. We particularly encourage women and candidates from other groups which are currently under-represented in academic posts. The preferred
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studied Specific Requirements Familiarity with statistical programming languages (e.g., R and/or Python) will be valued. Familiarity with statistical programming languages (e.g., R / RStudio and/or Python
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proficiency with at least one programming language (Perl or Python preferred). Skills in molecular phylogeny are a plus. Other required skills: English (written and oral). Good presentation and communication
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skills in Python and Matlab Very good English skills and basic German skills Our offer A vibrant research community in an open, diverse and international work environment Scientific excellence and
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optimisation or machine learning (e.g., Python/Matlab/C++; PyTorch/TensorFlow). Experience in signal processing/wireless or SDR/GPU prototyping is a plus. Demonstrated research potential is highly desirable
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, data analysis, and scientific writing and communication. Experience in working in an optics lab and programming in Python will be beneficial but is not necessary. Applicants should have, or expect
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analysis and software skills (python and astropy) • teamwork abilities • fluent in English • Experience in data analysis in a neutrino experiment and in astronomy analysis in X-ray/gamma-ray observatories
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mechanics, numerical methods (BEM and FEM) computing skills (e.g. C++, Python, ... ) good knowledge of the English language Admission Requirements Engineering diploma (Dipl.-Ing.), Master of science (M.Sc