Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Bergen
- University of Oslo
- Carnegie Mellon University
- Harvard University
- Simons Foundation
- University of British Columbia
- University of Cincinnati
- University of South-Eastern Norway
- ;
- Simons Foundation/Flatiron Institute
- University of Waterloo
- Institut national de la recherche scientifique (INRS)
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- KINGS COLLEGE LONDON
- King's College London
- National University of Singapore
- Northeastern University
- Swansea University
- The Ohio State University
- UiT The Arctic University of Norway
- University of Agder
- University of Ljubljana
- University of New South Wales
- University of Stavanger
- University of Stirling
- 15 more »
- « less
-
Field
-
technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data
-
algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software
-
technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domainspecific knowledge with data
-
challenge meeting this requirement is the simultaneous need for low-power consumption. The main objective of the project is to develop a complete end-to-end high-performance DNN system for on-premise
-
. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining
-
20th June 2025 Languages English English English PhD Research Fellow in towards battery digitalization: a continuum physics-based model development Apply for this job See advertisement About the
-
) for developing more reliable systems for Railway Transportation and contributes to Green Transportation. The goal is to identify early signs of wear or faults of the railway power system to improve maintenance
-
of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection, analysis and
-
may include but are not limited to: algorithm and software development; application or development of computational or statistical methods; data analysis; modeling; statistics and machine learning
-
may include but are not limited to: algorithm and software development; application or development of computational or statistical methods; data analysis; modeling; statistics and machine learning