Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
faculty and staff, interns will: Identify a relevant community, business, or economic issue and develop a focused research question. Collect, clean, and analyze data related to the project. Create graphs
-
packages (SAS) including generation of tables and graphs. Advises and assists investigators in the design of experiments, clinical trials and epidemiological studies. Assists in data base design
-
Fellow (CF). Equipment Utilized Computer skills including Word Processing, Data Base, Spread Sheets, and Graphing software, and commercially made educational materials (i.e., standardizedtests, language
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
of proficiency in either R or Python in the areas of machine learning, deep learning, statistical analysis, computer vision, and/or graph analysis Experience with data engineering to create data
-
(UD) invites applications for a Research Software Engineer (RSE) to join the NSF AI Institute for Human-AI Cooperation (HAIC). The HAIC Institute ( https://haicinstitute.org/) is a 5-year (2026-2031
-
that support reliable cloud and enterprise services. A primary focus of the position is integrating operational data from Microsoft cloud platforms, including Azure, Microsoft 365, and Microsoft Graph
-
recommendations will be made for all categories of stakeholders to support the process of job matching Where to apply Website https://resurseumane.ase.ro/pnrr-cf_178-jobkg-a-knowledge-graph-of-the-romanian
-
will be made for all categories of stakeholders to support the process of job matching Where to apply Website https://resurseumane.ase.ro/pnrr-cf_178-jobkg-a-knowledge-graph-of-the-romanian… Requirements
-
en entornos impulsados por IA. -- Contributing to the design and development of semantic interoperability frameworks based on ontologies and knowledge graphs for heterogeneous data ecosystems
-
with GREYC (UMR CNRS 6072), the computer science laboratory of Université de Caen Normandie, particularly in machine learning and graph-based approaches. Depending on the scientific questions addressed