Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Stavanger
- University of Oslo
- University of Inland Norway
- University of Nottingham
- Université Gustave Eiffel
- Aston University
- Barnard College
- Faculdade de Medicina da Universidade do Porto
- INESC TEC
- Instituto de Telecomunicações
- King Abdullah University of Science and Technology
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Macquarie University
- Nanyang Technological University
- Open Society Foundations
- UNIVERSITY OF SURREY
- University of Nottingham;
- University of Oxford
- University of Oxford;
- University of Surrey
- University of Texas at Austin
- Vanderbilt University
- 12 more »
- « less
-
Field
-
of solid-state matter to dynamic compression on nanosecond timescales. The academic standing of the Fellow, as an independent group leader, will be on a par with the other academics in the Department who
-
different model sizes and deployment settings. Apply and advance model compression techniques, including quantization, pruning, knowledge distillation, low-rank adaptation, and related methods. Conduct
-
Sensing (DAS) data processing and compression using ML Physics-driven machine learning for geophysical modeling and inversion Thus, the candidate is expected to have or about to have a PhD in a relevant
-
energy-efficient cooling technologies for cryogenic temperatures (<70 K). At such low temperatures, conventional refrigeration technologies based on gas compression become inefficient or impractical, as
-
simulation realism and by enforcing quantitative validation against helioseismic constraints. The project combines surface-cooling-driven convection, compressible fluid dynamics, and magnetic fields in ultra
-
into a highly active research team with strong international visibility in image and video compression, learning-based coding, and multimedia signal processing. This project is funded by FCT/MECI through
-
enforcing quantitative validation against helioseismic constraints. The project combines surface-cooling-driven convection, compressible fluid dynamics, and magnetic fields in ultra-high-resolution models
-
based on gas compression become inefficient or impractical, as suitable compressible gases no longer exist and the required infrastructure becomes prohibitively complex and energy intensive. Solid-state
-
develop new techniques for optimisation/modification of the laser pulse parameters, such as pulse focusing, filamentation, chirping, and temporal compression. Validate computational codes and implement
-
contact information for two referees Attachments must be uploaded as separate files. If the attachments exceed 30 MB, they must be compressed prior to upload. It is the applicant's responsibility to ensure