-
learning; software development Preferred Qualifications: Excellent academic writing ability on quantitative topics Familiarity with relevant software environments (e.g., R, Python, SPSS) Expertise in
-
/ambulatory assessment/EMA; (2) data analytic skills for intensive longitudinal data, including app-based surveys; (3) R and/or MPlus software packages; and (4) collaborating effectively with teams
-
structures. Required experience includes designing plasmids, cloning, mutagenesis, protein preparation, protein purification. Strong background in utilizing PHENIX and COOT or other comparable software
-
longitudinal modeling Advanced experience with programming languages and statistical software (e.g., R, Unix) Ability to manage and analyze large-scale, high-dimensional datasets Proven experience working