Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Munich
- NEW YORK UNIVERSITY ABU DHABI
- ;
- AALTO UNIVERSITY
- Chalmers University of Technology
- Durham University
- Pennsylvania State University
- University of Minnesota
- University of Oxford
- University of Twente
- DURHAM UNIVERSITY
- Heriot Watt University
- KINGS COLLEGE LONDON
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Technical University of Denmark
- University of Cambridge
- 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
- New York University
- Radboud University
- SUNY University at Buffalo
- SciLifeLab
- Stanford University
- UNIVERSITY OF HELSINKI
- Umeå University
- University of British Columbia
- 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
- 36 more »
- « less
-
Field
-
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
-
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
-
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
-
transparent models. The Privacy-aware transparency decisions research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning. It is well
-
algorithms for the scanner using machine learning and deep learning. Qualifications: The position requires some background in machine learning, optimization, and deep learning. Some familiarity with MR physics
-
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
-
Alexandria, Virginia. The focus of these positions will be on quantum computing, quantum algorithms, quantum learning, quantum error correction, and quantum fault-tolerance. The successful candidate will join