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Field
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-based models. • Ability to sophisticatedly use at least one programming language, e.g., Python, R Java, SQL, Julia, C# and C++. • Excellent interpersonal and communication skills. • Good
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bulk and single cell RNA-seq, ATAC-seq and CHIP-seq. · Expertise in downstream analysis and biological interpretation of bioinformatic findings · Proficiency in R/Python programming
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SHINE colleagues, running Python models and checking outputs for accuracy. Lead and contribute to publications, grant applications, and stakeholder engagement that translate modelling insights into
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computing Strong programming and data-analysis capability, preferably including Python and C/C++ A record of high-quality research outputs commensurate with opportunity and demonstrated ability to
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data-science training workshops (e.g., R, Python, Linux, ML/AI pipelines) and contributes training modules to the project’s education and workforce-development activities. Co-mentors graduate research
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, blockchain, market, and other relevant datasets using Python, MATLAB, SQL, and related analytical tools. Formulate research hypotheses, design empirical studies and experiments, and conduct
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methods to biological systems Proficiency in Python programming Excellent written and verbal communication skills First-author peer-reviewed publication(s) Desired Qualifications Experience
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statistical and data-analysis skills, including R/Python and large ecological or environmental datasets. Experience with photoquadrat, photogrammetry and/or Agisoft Metashape is highly desirable. Excellent
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ultrasound, wearable and accelerometry-derived loading or physical activity analytics, gait biomechanics, or circulating biomarker analysis. Programming proficiency in R, Python, or MATLAB. Experience with
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learning, or spatiotemporal analysis. Strong programming skills in Python and/or R; experience with STATA, MATLAB, or SQL is advantageous. Experience with aviation, airport, airspace, flight trajectory, or