Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- ;
- AALTO UNIVERSITY
- Chalmers University of Technology
- Durham University
- Pennsylvania State University
- Technical University of Munich
- University of Minnesota
- University of Oxford
- University of Twente
- DURHAM UNIVERSITY
- Heriot Watt University
- KINGS COLLEGE LONDON
- Radboud University
- Technical University of Denmark
- University of Luxembourg
- Central China Normal University
- ETH Zurich
- 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
- SUNY University at Buffalo
- SciLifeLab
- Stanford University
- Swansea University
- THE UNIVERSITY OF HONG KONG
- UNIVERSITY OF HELSINKI
- Umeå University
- University of British Columbia
- University of Cambridge
- University of Groningen
- 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
- 38 more »
- « less
-
Field
-
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
-
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
-
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
-
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
-
, estimation, and identification algorithms that directly interface with physical hardware. We work closely with industry partners. Our research has led to several methods now used in commercial products. We
-
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
-
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
-
. JOB DESCRIPTION AND POSITION REQUIREMENTS: Prof. Bill Bahnfleth and Assoc. Prof. Greg Pavlak are seeking a self-motivated, highly skilled Postdoctoral Scholar to work on funded research in the area of
-
learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes