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management, intellectual property or collaboration with industry or clinical partners. Competence in quantitative analysis using Python, R, MATLAB or equivalent software, including statistical analysis, image
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-seq Hi-C Micro-C RCMC Organoid culture systems Mouse models Flow cytometry DNA damage and repair assays Computational genomics and bioinformatics Programming and analytical tools such as: R Python
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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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research and scientific publications Teaching experience at BSc and/or MSc level Strong quantitative skills — ecological data analysis and reproducible workflows in R and/or Python Fluency in English Desired
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research methods (e.g. interviews) and/or qualitative analysis software such as MAXQDA Programming skills (e.g. Python) Knowledge of French and/or Arabic Previous experience working in international
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biological field. You must possess documented experience managing spatial/scRNA transcriptomics workflows. Strong programming proficiency in R or Python is essential. Proven experience in data acquisition
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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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preferred, Python OK) and demonstrated ability to communicate research findings evidenced through peer-reviewed manuscripts and conference presentations. Highly desirable additional areas of expertise include
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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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: 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