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in Python, R, or similar programming languages; • Experience with network analysis, process mining, and time-series data analysis is a plus • Strong analytical, problem-solving, and communication
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functional interpretation of genetic variants. Proficiency in Python, R, or other bioinformatics languages. Knowledge of cloud computing, and high-performance computing (HPC) environments. Strong ability
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languages such as Python or R. Strong communication (oral and written) and interpersonal skills, and experience working in a large research group is desirable. Fluent in spoken and written English. Ability
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electronic medical records, clinical trial data, survey data, and observational data • Systematic review and meta-analysis Software requirement: • R, STATA, or other similar software Recruitment is open
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such as SPSS, R, and/or Microsoft Excel Draft conference and journal submissions based on research findings Prepare financial and progress reports, presentations, as well as other research-related documents
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software such as R, Stata or SAS. • Preparation of reports, presentations, manuscripts. • Writing grant proposals • Provide mentorship to graduate students and research assistants The candidate must be
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constructive feedback, and strong organizational skills Passionate and clear about your own research interests Adept in running statistical analyses (e.g., Stata, R, SAS, MPlus) and/or in coding (e.g., Python
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processing would be an advantage. Proficiency in statistical software (e.g., R, Python, SAS, or Stata). Experience with clinical informatics approaches (e.g., cluster analysis, machine learning, Bayesian
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experience in programming languages such as R, Python, and familiarity with NLP tools and techniques (essential) Proven track record in handling and analyzing large healthcare dataset (essential) Track record
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to produce two journal articles during their contract. The successful candidate must demonstrate good competence in quantitative research methods and be proficient with statistical software such as STATA or R