Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- Chalmers University of Technology
- Durham University
- University of Twente
- KINGS COLLEGE LONDON
- Technical University of Denmark
- University of Cambridge
- University of Luxembourg
- University of Oxford
- ;
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- ETH Zurich
- Edith Cowan University
- Forschungszentrum Jülich
- Ghent University
- Heriot Watt University
- ICN2
- Indiana University
- Lulea University of Technology
- New York University
- Radboud University
- SciLifeLab
- Stanford University
- UNIVERSITY OF HELSINKI
- Umeå University
- University of British Columbia
- University of Groningen
- University of Houston Central Campus
- University of Minnesota
- University of Notre Dame
- University of Southern Denmark
- University of Virginia
- University of Washington
- VIB
- Virginia Tech
- Washington University in St. Louis
- Yale University
- 29 more »
- « less
-
Field
-
of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
-
supervised by Prof. Dr. Jun Pang. For further information or inquiries, please contact Prof. Dr. Jun Pang directly. Your profile PhD in Computer Science or a related discipline, coupled with outstanding
-
Employment 1.0 FTE Gross monthly salary € 3,378 - € 5,331 Required background PhD Organizational unit Faculty of Science Application deadline 13 July 2025 Apply now Are you interested in a project
-
includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals that are closely related to applications and applied research
-
with data science, and data management (including IoT, Edge, and HPC). This is a fully funded position for 24 months within the HEXAPIC project, conducted in collaboration with Prof. Leon Kos' team
-
with data science, and data management (including IoT, Edge, and HPC). This is a fully funded position for 12 months within the HEXAPIC project, conducted in collaboration with Prof. Leon Kos' team
-
contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
-
at New York University Abu Dhabi seeks to recruit a motivated post-doctoral associate with a strong background in game theory, control systems, and/or learning theory to join the research team of Prof
-
well as MSc and PhD programmes. Further information may be found at: http://www.kcl.ac.uk/physics About the role We are seeking to fill a position of Postdoctoral Research Associate, working in close
-
research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but