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Field
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interferometric detectors at Hanford, Washington and Livingston, Louisiana, which have made the first confirmed detection of gravitational waves. A vigorous LIGO Laboratory R&D program supports the astrophysical
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collection challenges (e.g., technology, logistics, respondent recruitment). Data Management & Analysis Clean and manage large-scale quantitative survey datasets using R (preferred) and Stata or other packages
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computational tools such as R and UNIX is essential. Experience with handling of laboratory animals is preferred. Preferred Schedule: Between 7am to 5pm Position Requirements: Minimum Qualifications: Minimum
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, using R or Python; experience with these datasets is helpful but not required Preparing statistical reports and presentations Presenting findings at regional or national scientific meetings Mentoring
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. LICENSES, TOOLS, AND EQUIPMENT: Personal computers and printers; word processing, database management, spreadsheet software, other scientific analysis software (R, python, MatLab), laboratory equipment as
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or organoids. Basic bioinformatic knowledge (R/Python) or ability to learn. Excellent oral communication and written skills in English, with good organization, attention to detail, and analytical abilities
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biology education research and teaching in biology or pedagogy Desired: Experience in quantitative research methods focusing on biological teaching and success; experience with SPSS, R, Qualtrics, and
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, Psychology, Cognitive Psychology or a related field. Extensive experience with computational cognitive models is required. Experience with the ACT-R cognitive architecture, with applications to cybersecurity
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skills in R/Matlab/PerlPython. Knowledge of basic molecular biology, genomics, and epigenetics. Experience in next-generation sequencing data and scRNA-seq data. Baylor College of Medicine is an Equal
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data (e.g., Python, R, or bioinformatics pipelines). Strong record of productivity as evidenced by peer-reviewed publications or preprints. Ability to work both independently and collaboratively in a