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with community based participants that require excellent interpersonal skills. Preferred qualifications Program and data analysis skills are strongly preferred, including Python, linux/bash, and R
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Physics or closely related field at the time of appointment. Preferred qualifications 1-2 years experience with at least one of the following: Python, Javascript, or Google App Script. 1-2 years
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related discipline Experience in environmental science field and lab research, experience programming for data management or analysis (e.g. in R or Python), a high level of attention to detail, ability
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in R, Python, Matlab, or similar ● Experience, familiarity, or interest in learning more about data related to plastic production, consumption, and waste management, particularly related to single-use
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Polymer Characterization (SEC-MALS, DLS) 4 or more years of Analytical chromatography (HPLC) and mass spectrometry (ESI, LCMS, MALDI) Preferred qualifications Computations skills (MATLAB, Python
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, Drupal, WordPress Database Management Systems - SQL. Coding: Python, JavaScript, R. Other Related Topics Machine Learning & Data Science Introduction and Overview of Machine Learning Introduction and
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, efficient coding abilities, preferably in R and/or Python Experience using machine learning techniques to process and analyze larger datasets Ability to review and synthesize large amounts of literature and
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alleviation; ● Excellent quantitative and modeling skills including advanced coding in R, Stata, Python, and/or Matlab; ● For some emLab projects, experience designing and running randomized controlled trials
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, Quartz, Spring Batch, or enterprise schedulers like Control-M or Autosys. • Demonstrated ability to troubleshoot and analyze applications using programming languages like Python, Java, or JavaScript
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, implementing, and debugging databases using MySQL Redis, Oracle, PostgreSQL. Demonstrated proficiency in designing, developing, debugging, evaluating, and deploying Python, PHP, .Net, and Ruby web applications