Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Portugal
- France
- Sweden
- United Kingdom
- Singapore
- Germany
- Netherlands
- Poland
- Spain
- Norway
- Canada
- Belgium
- Denmark
- Australia
- Italy
- United Arab Emirates
- Austria
- Czech
- Hong Kong
- Switzerland
- Cyprus
- Ireland
- Luxembourg
- Brazil
- Finland
- Morocco
- Saudi Arabia
- Slovakia
- Croatia
- India
- New Zealand
- 22 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Biology
- Business
- Engineering
- Science
- Mathematics
- Education
- Arts and Literature
- Materials Science
- Social Sciences
- Chemistry
- Earth Sciences
- Environment
- Psychology
- Law
- Humanities
- Linguistics
- Design
- Electrical Engineering
- Philosophy
- Physics
- Sports and Recreation
- 14 more »
- « less
-
. 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
-
, 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
-
to achieve the long range goals and specific aims of funded NIH grants. 5) Analysis of connectomic data, direction of collaborators (including senior scientists, AI companies, postdoctoral fellows and students
-
., SQL queries) Excellent knowledge of statistical methods for data analysis and data visualization Very good German and English skills (both at least B2 level) Ability to work in a team and strong
-
analyses. · Generate tabulations and visual representations of data (e.g., charts, graphs) using report-building tools with minimal oversight. · Interpret analysis results and contribute
-
archival of data and wood specimens. Contribute to hydroclimatic and dendroclimatic data analysis and visualization. Provide written and graphical support for project reports and publications. Assist with
-
. This course primarily serves first-year business students and emphasizes practical, applied instruction in business process logic and mapping, relational databases (including SQL logic), data analysis and
-
new features in these software packages and setting up new computational pipelines for large-scale automated data analysis, making an essential contribution to our scientific research. At Saeys lab, you
-
of experience/training. Demonstrated knowledge of clinical and/or financial practices and principles. Demonstrated ability to gather information from multiple sources and analyze applicability and appropriateness
-
. level bioinformatician. The facility is a centralized resource of expertise for the analysis and visualization of large-scale biological datasets, available to researchers at DBM and the Biozentrum