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(command line-based) and scripting languages such as R, Python, Unix/shell Excellent command of written and spoken English Ability to work both independently and in a collaborative, interdisciplinary
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technologies and biotechnologies to break them down. http://www.recetox.muni.cz/en/career/career-at-recetox About the Research Group The Environmental epidemiology ERA Chair research group integrates approaches
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(preferably in R, Python, GIS) • Competences in quantitative research methods - ideally knowledge of several of the following aspects of quantitative data analysis: analysis of large/longitudinal datasets
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are experimentally driven and supported by COMMLab, 6GSPACE Lab, HybridNetLab, QCILab, TelecomAI Lab, CSAT Lab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snt
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts
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to see the following publications for some context: https://pubs.rsc.org/en/content/articlehtml/2024/gc/d4gc00765d https://pubs.rsc.org/en/content/articlehtml/2024/gc/d4gc04533e https
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analysis is expected; familiarity with scientific programming environments (e.g. Python, R, or similar) is highly desirable interest in policy-relevant science and sustainability frameworks strong motivation
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related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in
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analysis is expected; familiarity with scientific programming environments (e.g. Python, R, or similar) is highly desirable Interest in policy-relevant science and sustainability frameworks Strong motivation
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science, computer science, biomedical informatics, biostatistics, or related field ? Strong programming skills in Python and/or R ? Experience with machine learning libraries (scikit-learn, TensorFlow