Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- Nature Careers
- Brookhaven Lab
- NEW YORK UNIVERSITY ABU DHABI
- Oak Ridge National Laboratory
- The University of Arizona
- University of Kansas
- Aarhus University
- Austrian Academy of Sciences, The Human Resource Department
- Brookhaven National Laboratory
- CNRS
- Durham University
- ETH Zürich
- European Space Agency
- FUB - Free University of Berlin
- Forschungszentrum Jülich
- Heriot Watt University
- King Abdullah University of Science and Technology
- New York University
- The University of Memphis
- UNIVERSITY OF VIENNA
- Universitat Rovira i Virgili
- University of California, Merced
- University of Luxembourg
- Virginia Tech
- Łukasiewicz Research Network - Krakow Institute of Technology
- 16 more »
- « less
-
Field
-
, Merced is looking for an ambitious Postdoctoral Scholar to carry out a project that leverages compressed sensing to accelerate proteomics research. The position is NSF-funded, and the scholar will work
-
28 Oct 2025 Job Information Organisation/Company Łukasiewicz Research Network - Krakow Institute of Technology Department HR Research Field Other Researcher Profile Recognised Researcher (R2
-
, biologists, and data scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and
-
division 8.5 Planning, performing, and evaluating in-situ/4D computed tomography experiments Developing software for the quantitative evaluation of various image data sets (algorithms for detecting volume
-
Posting Information Posting Number FAE1959 Advertised Title Post-Doctoral Fellow Campus Location Main Campus (Memphis, TN) Position Number L22894 Category Full-Time Faculty Department Mechanical
-
Dr Natalie Booth (Bath Spa University). The post holder will use their research knowledge and skills to provide support with the qualitative data collection for a research prison project exploring
-
scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and machine learning
-
Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement
-
of cells. These data will then be used to validate our state-of-the-art techniques to predict the arrangements of cells in biological tissues, building on the CONDOR simulation technique (Hague, J. P. et al
-
, including filament extrusion, compression molding, injection molding, and fused deposition modeling. This position requires the preparation of ISO/ASTM test specimens for mechanical (tensile and flexural