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on performance and funding availability. This full-time position offers a salary of $65,000 per year, along with health benefits (a description of available plans can be found at https://uhr.rutgers.edu/benefits
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energy systems. Specific postdoc duties will depend on the successful candidate’s skills and interests, matched to project needs, with time allocated to pursue independent, discretionary work
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of the required doctoral degree completion must be provided prior to commencement of employment. Certifications/Licenses Required Knowledge, Skills, and Abilities Demonstrated excellent writing and statistical and
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degree in epidemiology, public health, mathematics, behavioral science, health services research, economics, or a related discipline that provides training and skills in quantitative methods. Must have
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, and Abilities Knowledge and experience with ESRI ArcPro and ArcGIS Online, including Arcade coding. Knowledge and experience with coding with R or Python to automate GIS and statistical analysis
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. Among the key duties of this position are the following: Identifies the appropriate level of care disposition from skill based knowledge of the Diagnostic and Statistical Manual of Mental Disorders, Fifth
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. Equivalent experience, education and/or training may be substituted for the degree requirement. Experience with basic MS Office software Preferred Qualifications Experience with Statistical Computing Programs
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required along with knowledge of molecular biology, computer programming, statistical analysis and genome evolution. Mentoring experience is also required. Certifications/Licenses Required Knowledge, Skills
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The Department of Mathematics and Computer Science, School of Arts and Sciences-Newark, Rutgers University-Newark (RU-N), is seeking part-time instructors (Lecturer/Coadjutant) for the Fall 2026 semester to teach
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analyses 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