Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Singapore
- Sweden
- Germany
- Netherlands
- Portugal
- Spain
- United Kingdom
- Austria
- Poland
- Canada
- Norway
- Belgium
- Ireland
- Italy
- United Arab Emirates
- Australia
- Denmark
- Japan
- Saudi Arabia
- Cyprus
- Hong Kong
- Qatar
- Romania
- South Africa
- China
- Finland
- Morocco
- Slovakia
- Switzerland
- 21 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Business
- Engineering
- Biology
- Science
- Arts and Literature
- Environment
- Materials Science
- Mathematics
- Education
- Psychology
- Humanities
- Chemistry
- Earth Sciences
- Linguistics
- Social Sciences
- Law
- Sports and Recreation
- Design
- Electrical Engineering
- 12 more »
- « less
-
particular emphasis on integrating satellite LiDAR and UAV data with field observations. Applying statistical modelling, automated machine learning approaches, and artificial intelligence for the analysis and
-
George Washington University | Washington, District of Columbia | United States | about 18 hours ago
, or coursework in sciences, computer sciences, or other engineering related fields. Experience with data analysis, GIS, coding, visualization, or computational research tools. Familiarity with research data
-
for supporting the data management, analysis, and visualization efforts within the Center’s Data Informatics Group (DIG) and for the NJ Climate Change Resource Center, which is also under the directorship
-
techniques through virtual reality to transform the way model grids are explored. Immersion will enable interactive (and collaborative) visual analysis, facilitate model comparison, and improve the estimation
-
Support 30% Data Collection, Management, and Analysis 25% Reporting, Visualization, and Communication 20% Collaboration and Stakeholder Engagement 15% Policy and Strategic Support 10% Required
-
procedures to ensure consistent and reliable data collection across multiple samples. Implement diagnostic methods, such as fiber index profiling and microscopic visual inspection, to analyze post-processing
-
). This role will involve designing custom test fixtures, conducting practical laboratory work, and performing data analysis to create a robust and reliable testing protocol. Key Responsbilities: Conduct a
-
of the collected data, to visualize the results using computational tools. The analysis should be conducted within the framework of grammatical and constructional typology. As for the source of data, they will
-
soybean production systems. Current soybean research areas include planting date and plant growth regulator management. The successful candidate will primarily focus on data analysis, scientific writing
-
digestive diseases, through intelligent visual analysis based on advanced Computer Vision techniques. Scholarship Duration: this scholarship will last for 12 months, from September 2026 to the end