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Field
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of bioinformatics (RNA-seq pipelines, Python/R) and sequencing technologies (nanopore, single-cell, ATAC/ChIP-seq). Knowledge of genetic regulation and lncRNA function in immune contexts Excellent data analysis and
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. Applications close Sunday, 8th June 2025 at 11.00pm AEST (R-52134). Please note that interviews have been tentatively scheduled for the week of 16th June 2025. #LI-DNI
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languages such as R or Python is preferred. Candidates should have strong interpersonal skills, work well in research teams, nurture a professional environment, and have a strong commitment to rigorous
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analyses using statistical software, such as SAS, R, and others. Participate in group meetings and work collaboratively on larger projects with other group members. Generate data for figures and tables
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and commercial tools (e.g. XCMS, MZmine, Compound Discoverer, GNPS, SIRIUS, etc). Proficiency in one or more programming languages (e.g. R, Python). Experience with continuous integration and best
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. R. China Application Materials Required: Submit the following items online at this website to complete your application: Cover letter Curriculum Vitae Research statement Teaching statement Copy
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previous publications involving statistical analyses. Experience with behavioral methods. Proficiency in R, Python, MATLAB, or JavaScript for data analysis and experiment programming. Experience with grant
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include R, Python, mySQL, MATLAB and JavaScript, or other GIScience. Preferred Qualifications: Experience in developing scientific data management tools/processes to manage large volumes of data originating
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, sociology, or other relevant fields. Experience with analysis of large health science databases or studies Analysis experience in R, SAS, STATA or a similar statistical programming language Demonstrated
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, random forests, etc.), and languages like R, Python, or Julia for health data analysis. Experience in backend/frontend development, data visualization, and web apps using JavaScript, Python, and Linux