Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Portugal
- France
- United Kingdom
- Germany
- Singapore
- Sweden
- Spain
- Netherlands
- Poland
- Canada
- Denmark
- Norway
- Australia
- Austria
- Belgium
- United Arab Emirates
- Hong Kong
- Switzerland
- Italy
- Romania
- Cyprus
- Czech
- Finland
- Ireland
- Brazil
- Estonia
- India
- Luxembourg
- New Zealand
- Saudi Arabia
- 21 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Business
- Biology
- Engineering
- Science
- Mathematics
- Education
- Arts and Literature
- Materials Science
- Earth Sciences
- Social Sciences
- Environment
- Law
- Chemistry
- Humanities
- Psychology
- Design
- Linguistics
- Sports and Recreation
- Electrical Engineering
- Physics
- Philosophy
- 14 more »
- « less
-
initiatives, including predictive modeling, trend forecasting, and longitudinal analysis to inform institutional direction and planning. Develop and maintain dynamic dashboards, data visualizations and
-
, including preparing data, conducting data analysis such as regression, forecasting, optimization, data visualization, and data story telling. This degree prepares students for entry-‐ and mid-‐level roles in
-
critical assessment of published data. Compositional analysis of stained glass windows in the laboratory by LA-ICP-MS and on site by pXRF. The latter requires the establishment of a robust calibration
-
, and ensure deliverables are completed successfully. - Prepare reports for funders, compliance, and internal review. Data Analysis & Visualization – 20% - Compile, analyze, and interpret quantitative and
-
. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
-
visualization of spatial data; environmental geospatial modeling, remote sensing and spatial statistics; relational database concepts; identification of spatial temporal turbidity patterns in coastal waters using
-
visualization systems. Research themes: The PhD student will contribute to several of the following topics: Computer-generated holography (CGH); Optical system analysis and simulation; Developing AI/ML algorithms
-
Processing: Uses existing tools to build data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization Data Analysis: Performs routine analysis
-
, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with
-
applications (https://www.cbr.washington.edu/analysis) to perform statistical analyses relevant to fish, dam, water, and natural resource management. The Software Engineer will play a lead role in the