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plasma process equipment. Characterize the influence of magnetic field on plasma flow. Conducts various design experiments to refine processes. Optimize vacuum coating processes, and leading R&D efforts in
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3 years postdoctoral experience). Proficient coding skills in at least one of Matlab, R and Python. Experience working with remote sensing. Experience with crop physiology is a plus. Strong numerical
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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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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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conducting social network analysis Familiarity with R as applied in data analysis Proficiency in academic writing Good organizational skills and able to work within tight deadlines Good interpersonal, written
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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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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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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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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