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run in the ESI lab. Required Qualifications Ability to learn departmental processes. Familiarity with Microsoft Office Suite. Seeking a student RA with Python programming experience, user interface
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Collection, cleaning, and handling of various datasets for research purposes Performing statistical analysis, e.g., in Stata, R, Python, or similar programming languages Basic standard coding of survey
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and scalable pipelines (e.g., using Snakemake, Nextflow, or custom scripts). Automate common data processing workflows in bash, R, or Python. Maintain version control using GitHub and contribute
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Engineering, Computer Science/Engineering, Data Science, or a closely related field *Proficiency in Python or other tools and ML frameworks *Track record of open source contributions or tool development in AI
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such as Python We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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of the analysis results. Basic Qualifications Bachelor's degree in Astronomy or related field, such as CS. Basic understanding of Astronomy. Ability to read and write code in Python. Preferred Qualifications
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Teams. Proficiency with software such as Python, C++, MATLAB and ROS; and hardware such as industrial robots, and visual inspection cameras. The successful candidate should have demonstrated experience in
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, atmospheric science, computer science, or a related quantitative field. Certification and Licensing: Prior experience working with atmospheric aerosol data and/or machine learning tools in Python or MATLAB is
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Applications, particularly MS Word, Excel, Powerpoint 2. Experience in R, Python The successful applicant is expected to possess at least a Bachelor’s Degree in Epidemiology, Public Health, Environmental Health
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cancer genomics and functional interpretation of genetic variants Proficiency in Python, R, or other bioinformatics languages Knowledge of cloud computing, and high-performance computing (HPC) environments