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.; Doultsinos, D.; Pineau, R.; Sauzay, C.; Koutsandreas, T.; Langlais, T.; Carlesso, A.; Gkotsi, E.; Negroni, L.; Avril, T.; Chatziioannou, A.; Chevet, E.; Eriksson, L. A.; Guillory, X. A Novel IRE1 Kinase
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undertake major scientific research tasks such as the National Key R&D Program, National Natural Science Foundation Program, National Major Scientific and Technological Special Project for “Significant New
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, Statistics, Epidemiology or related disciplines Experience in handling longitudinal and birth-cohort datasets Extensive experience in quantitative research (Stata, R, Python, etc.) Fluent in English (speaking
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
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); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied to observational data; A track record
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NextFlow is a plus. Programming experience is required (Python, R). Previous experience in Genomics data analysis Strong analytical, organizational, and record-keeping skills Interest in working in a
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and/or R and have a background in Biology, Computational Biology, or Bioinformatics. The ideal candidate will collaborate closely with our team of bioinformaticians, cancer cell and molecular biologists
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mining, statistical analysis, and computational modeling; Experience with programming languages such as Python, R or similar, as well as familiarity with relevant libraries and frameworks (e.g., TensorFlow
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transition in zebrafish. Genome Research 2019. Vejnar CE, Abdel Messih M, Takacs CM, Yartseva V, Oikonomou P, Christiano R, Stoeckius M, Lau S, Lee MT, Beaudoin JD, Musaev D, Darwich-Codore H, Walther TC
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statistical modelling (e.g., hierarchical regression models, integral/matrix population models) and programming (e.g., R). Demonstrated ability to work independently, exercise critical thinking, and proactively