Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- University of Oxford
- Chalmers University of Technology
- Durham University
- Pennsylvania State University
- Technical University of Munich
- University of Groningen
- University of Twente
- ;
- AALTO UNIVERSITY
- Heriot Watt University
- KINGS COLLEGE LONDON
- Technical University of Denmark
- University of Luxembourg
- University of Minnesota
- Central China Normal University
- DURHAM UNIVERSITY
- Edith Cowan University
- Forschungszentrum Jülich
- Ghent University
- Hanyang University
- ICN2
- Indiana University
- Lulea University of Technology
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- New York University
- Radboud University
- SUNY University at Buffalo
- SciLifeLab
- Stanford University
- Swansea University
- THE UNIVERSITY OF HONG KONG
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- Umeå University
- University of British Columbia
- University of Cambridge
- University of Electronic Science and Technology of China (UESTC)
- University of Houston Central Campus
- University of Notre Dame
- University of Southern California
- University of Southern Denmark
- University of Virginia
- University of Washington
- VIB
- Virginia Tech
- Washington University in St. Louis
- Yale University
- 39 more »
- « less
-
Field
-
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
-
of stroke patients and healthy volunteers. Developing algorithms for identifying and excluding motor unit filters associated to impaired motor units. Integrating real-time-decoded features of motor unit
-
Your Job: Developing and implementing QC algorithms (QAA, QAOA, QSVM), quantum AI algorithms, use case adapted algorithms to test and benchmark latest technology focusing on gate-based QC Advancing
-
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
-
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
-
multi-agent autonomous systems and related technologies. This will include development of distributed monitoring algorithms enabling agents in a multi-agent swarm to autonomously locate other agents in
-
classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high-throughput, automated analysis of large image datasets from fluorescence
-
design, development, and validation of material, control systems, and algorithms for next-generation soft haptic actuators and experiences. Note that the research involves significant interactions with
-
small highly motivated inter-disciplinary team working towards a shared goal. You will be responsible for the design and testing of original machine-learning based algorithms and models for multi-modal
-
beginning May 2025 to conduct research under the supervision of Prof. Nick Laneman and collaborating with other leading faculty in the ND Wireless Institute and SpectrumX, the NSF Spectrum Innovation Center