Sort by
Refine Your Search
-
Listed
-
Employer
- Texas A&M University
- Oak Ridge National Laboratory
- George Washington University
- Texas A&M AgriLife
- University of Washington
- National Renewable Energy Laboratory NREL
- University of Kansas
- Indiana University
- Kennesaw State University
- Massachusetts Institute of Technology (MIT)
- Sandia National Laboratories
- Texas A&M AgriLife Extension
- Texas A&M University System
- University of Cincinnati
- University of Colorado
- University of Connecticut
- University of Delaware
- Washington University in St. Louis
- 8 more »
- « less
-
Field
-
to utilize a computer and applicable software to create databases, perform statistical analyses, present data and perform other computer related tasks, such as Microsoft Office. Preferred Special Knowledge
-
. Translate conceptual CLDs into quantifiable models using software such as Stella Architect®, Vensim®, or similar SD tools. Integrate production, financial, and behavioral data collected in Objectives 1 and 2
-
proficiency in at least one statistical software (e.g., R, Stata, SAS, Mplus) and desire and ability to learn additional software as needed (note: Dr. Kuiper regularly uses R, Stata, and Mplus simultaneously
-
-mining/NLP pipelines). Experience developing research software that supports end users, including building web-based tools/platform features, APIs, dashboards, and deployable prototypes (level of depth can
-
Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
the energy transition Experience and competency in quantitative analysis, including applied econometrics Experience in applied theoretical modeling a plus Proficient at statistical software, e.g., STATA
-
Computer Science or related fields Experience in power system modeling, optimization, and control Experience in at least one of the power system software tools including OpenDSS, PSCAD, PSS/E Experience in at least
-
: -Excellent verbal and written communication skills. -Ability to analyze data and write reports. -Ability to utilize a computer and applicable software. -Ability to multi task and work cooperatively with others
-
to the analysis of geologic or geophysical processes. Demonstrated data analysis skills using computational software, Excel, and programs. Ability to multitask and work cooperatively with others
-
to utilize a computer and applicable software to create databases, perform statistical analyses, present data and perform other computer related tasks, such as Microsoft Office. Preferred Special Knowledge
-
, Neurodegenerative Diseases, Neuroscience, PLINK (Software), Researching, Results Reporting, RNA Sequencing, Scientific Writing, Teamwork Questions For frequently asked questions about the application process, please