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programming skills in Python, R, or similar languages. Experience working with large biological datasets. Familiarity with Linux-based computing environments and high-performance computing. Excellent analytical
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Communication and interpersonal skills, Strong programming skills, R, Python, Knowledge of statistical analysis and data visualisation techniques, Working with longitudinal time course data sets, Multi-omics data
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-processing, pipeline development, and high-performance computing Proficiency in R or Python, and shell scripting Interest in gene regulation and developmental biology Optional previous experience with
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, K-means clustering, random forest trees, hypothesis testing, etc.) - Python programming and the Unix environment - Ability to communicate results in French and English (writing scientific articles and
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astrophysics is considered as an asset Proficiency in computational methods, programming (e.g., Python,..) and data analysis Mentoring of less experienced team members (i.e. students) Ph.D. degree in nuclear
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programming methods in Python or similar languages, and evidence of working well as part of a multidisciplinary research team. Informal enquiries may be addressed to Professor Tingting Zhu (email: tingting.zhu
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experience in: Mammalian cell culture. High-performance computing environments. UNIX and Python and/or R. Reverse genetics systems or viral culture. Advanced statistical or computational data analysis
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: computational linguistics / NLP cognitive science / psycholinguistics language acquisition or related fields Strong Python skills are essential, and experience working with corpus data or computational models
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, ligand GaMD). ● Experience building and interpreting Markov State Models or comparable approaches for identifying metastable states and conformational transitions. ● Proficiency in Python and
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not expected. Experience with scientific programming, quantitative data analysis, numerical calculations and simulations using tools such as LabVIEW, Python, MATLAB, Mathematica, Origin, COMSOL