Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- Norway
- Germany
- France
- Netherlands
- Denmark
- Belgium
- Hong Kong
- Australia
- Austria
- Poland
- Singapore
- Spain
- Switzerland
- Portugal
- Cyprus
- Italy
- Luxembourg
- China
- Estonia
- Canada
- United Arab Emirates
- Ireland
- Czech
- Finland
- Morocco
- Saudi Arabia
- Barbados
- Brazil
- Europe
- Iceland
- India
- Japan
- Lithuania
- New Zealand
- Taiwan
- Worldwide
- 29 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Science
- Economics
- Mathematics
- Psychology
- Humanities
- Chemistry
- Linguistics
- Materials Science
- Environment
- Business
- Earth Sciences
- Education
- Electrical Engineering
- Social Sciences
- Arts and Literature
- Physics
- Sports and Recreation
- Law
- 12 more »
- « less
-
doctoral students. We conduct world-leading research and education in both theoretical and experimental physics, including the development and use of large-scale infrastructures. We also collaborate
-
experience aligned to the goals of at least one of the Centre for Data Science and AI’s programmes with commensurate output. E2 Experience in machine learning and AI, including experience in machine learning
-
mathematical foundations of data science, machine learning and/or artificial intelligence. Preference will be given to candidates studying either the application of data science/ML/AI to problems in
-
and CH4) from headwaters, and use of machine learning and process-based model for large scale assessments and projections of the land-water carbon cycle to variation in climate conditions. The detailed
-
analysis and biomedical data analysis, with demonstrated experience in organ segmentation from medical images, using both traditional and machine learning–based methods, and creation of large segmentation
-
setting; Experience teaching multi-section courses and large courses; Demonstrated teaching record that combines Artificial Intelligence and/or Machine Learning with one or more of the following areas
-
/performance trade-offs and typical RAN levers; experience with energy metering data is a plus. • Strong background in AI / Machine Learning for decision-making (e.g., forecasting, optimization with learning
-
recording. The work will also include developing new statistical data analysis tools for behavioral and neural data. More broadly, the postdoc will be part of a large and intellectually vibrant community
-
, synaptic growth, brain network organization and connectivity, cognitive function) Using advanced neuroimaging and/or machine learning techniques to understand the connection between physical activity
-
. The department has approximately 160 staff members, of which 30 are PhD students. For more information, visit https://www.umu.se/en/department-of-ecology-and-environmental-science/ .