Sort by
Refine Your Search
-
preferred candidate will have experience teaching data wrangling, programming in Python and base R, and industry experience in data analytics or data science. The role will cover the full range of duties
-
analysis using a software platform such as R, Python, MATLAB, STATA, SAS, or others. Proficiency in energy modeling/simulation and cost estimating using such platforms as DesignBuilder and EnergyPlus and
-
information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Department of Library and Information Science seeks part-time lecturers for its
-
, such as SPSS, SAS, R, Python, etc. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Knowledge
-
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, but
-
Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Library and Information Science (LIS
-
Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Library and Information Science (LIS
-
, Skills, and Abilities Strong attention to detail and organizational skills. Basic computer proficiency, including basic familiarity with at least one programming language (e.g., Python, R, JavaScript
-
workflows using SQL, Python, and related tools. Use cloud-based data tools (e.g., OCI, Azure) as needed for data processing and analysis. Ensure compliance with data governance standards and maintain metadata
-
geographic groups using specialized tools and programming applications such as SQL, SAS, R, Python, ArcGIS, or QGIS accurately and efficiently. Constructs, cleans, and analyzes longitudinal residential