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, accuracy, and consistency. Prepares basic data summaries, tables, codebooks, or visualizations using a statistical language(s) under supervision. Maintains clear and organized records of data procedures FLSA
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of imaging, genomics, transcriptomics and proteomics data, as well as statistical analyses of biological data and any other types of analyses that might arise. Most of these will be Python-based, but
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: Focus Data science and/or statistical methods development addressing questions of health, technology, housing, education, innovation and others impacting national and international urban communities
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for Health, Health Care Policy & Aging Research. Among the key duties of the position are the following: Provides data-analytic support to a large program of research. Constructs statistically advanced
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. Performs routine checks of data for completeness, accuracy, and consistency. Prepares basic data summaries, tables, codebooks, or visualizations using a statistical language(s) under supervision. Maintains
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competency in statistical analysis of clinical data Proficiency with Qualtrics Previous experience conducting diagnostic evaluations (e.g., SCID, MINI, C-SSRS). Certifications/Licenses Required Knowledge
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Experience · PhD in oceanography, atmospheric science, geophysics, economics, computer science, statistics, or a related discipline at time of appointment; · Familiarity with literature relevant to sea-level
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Qualifications Bachelor’s degree in Agricultural Science or a related discipline. Knowledge of wet and dry lab techniques, such as, DNA extraction from turfgrass samples, digital PCR, and statistical analysis
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Science, Education, or related discipline Proficiency in programming (MATLAB, Python, R) Experience using advanced statistics Ability to build advanced experimental interfaces (using Matlab, Psychopy
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and policies as they presently exist and as they change or are modified. Performs other related duties as assigned. Minimum Education and Experience: Bachelor's degree in Statistics or Biostatistics