226 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at University of Pittsburgh
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
for this position. Preferred Qualifications: • Experience with participant testing in fNIRS, EEG, fMRI, or psychophysiological research. • Some familiarity with basic coding, data management, or statistical analysis
-
with coding in R and, ideally, have familiarity with multivariable generalized linear models (e.g., logistic regression, survival models, log-normal regression, rank regression), propensity matching
-
expenses, and performs associated financial duties. Essential Functions Position requires coding, entering, verifying, and maintaining data as it relates to the external site visit audit program of the NRG
-
. Proficiency with ‘vibe-coding’ is a plus, provided there is a good understanding of responsible and careful vibe-coding. Must have an understanding of basic molecular biology and genetics. Must have experience
-
HTML/coding, Jupyter Notebook also highly desirable. Please note: candidates will be required to provide a portfolio. Candidates may include a link to an online portfolio in their resume or they may
-
addition to supporting existing and future research projects, as well as other duties assigned by the PI and Lab Manager. The preferred candidate ideally has a background in neuroscience, basic coding, and laboratory
-
mechanical engineers and the Energy & Utilities group. • Review construction documents and specifications for adherence to University Design Manual standards and relevant codes, and provide electrical
-
participants to schedule appointments and maintain study retention. • Reviews participants' medical records, collects and codes surveys, and verifies active status for participants. • Attends relevant meetings
-
process • Appropriate coding of charges as routine care, conventional care or study paid and inclusion of clinical trial modifiers where applicable • Collaborate with clinical research service (CRS) teams
-
coding of data and conducts analyses of this data Completes other duties as assigned Physical Effort Mostly sedentary. The University of Pittsburgh is an equal opportunity employer / disability / veteran