-
to characterize the brain network interactions using connectivity and graph theory metrics. Develop reproducible computational pipelines in MATLAB, Python, R, or similar platforms for electrophysiology processing
-
modelers, epidemiologists, and economists. Development, calibrate, and extend of microsimulation and compartmental models of tobacco use and lung cancer in R. Receive training in modeling methods
-
; Experience using physiological assessment techniques and equipment (e.g., cardiorespiratory fitness assessments with indirect calorimetry); Strong quantitative and analytic skills with proficiency in R/Rstudio
-
modelers, epidemiologists, and economists. Development, calibrate, and extend of microsimulation and compartmental models of tobacco use and lung cancer in R. Receive training in modeling methods
-
pharmacoepidemiology and healthcare analytics experience (Medicaid, Medicare, commercial, and EHR populations). Proficiency in R, Python, and SQL. City: New Brunswick State: NJ Location: Rutgers University - New
-
audiences. Proficiency with standard office and data tools (Microsoft Word, Excel, PowerPoint, coding (R or Python), reference managers). Experience demonstrating solid judgment, organizational, planning
-
biological or genomic datasets. Proficiency in programming languages commonly used in scientific computing (e.g., R, Python, Linux/Unix environment). Excellent analytical, written, and verbal communication
-
SAS and/or R programming skills. Effective oral communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel
-
biomedical engineering or computer science, preferred. Demonstrated experience with electrophysiology data analysis, preferred. Strong quantitative and programming skills (e.g., MATLAB, Python, R) preferred
-
PowerPoint. Statistical coding skills (e.g., STATA, R) are also desirable. Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Physical Demands: Standing, sitting, walking