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
- 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
- 15 more »
- « less
 
- 
                Field
- 
                
                
                and training your own AI-based models for image segmentation or image compression, as demonstrated by Git repositories Experience in supervising students and young scientists Good knowledge of materials 
- 
                
                
                , 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 
- 
                
                
                processing, prepreg systems, resin transfer molding (RTM), vacuum-assisted resin transfer molding (VARTM), and other infusion or compression molding techniques. 2. Advanced Carbon-Carbon Composites for Extreme 
- 
                
                
                , scanning electron microscopy and X-ray diffraction techniques) Conducting experiments on mechanical properties in a static compression test - determining the effect of temperature on the yield strength 
- 
                
                
                our Staff Benefits page (clicking this link will open a new window). Flexible working We are open to discussions about flexible working. Whether it’s a job share, part time, compressed hours or another 
- 
                
                
                Benefits page (clicking this link will open a new window). Flexible working We are open to discussions about flexible working. Whether it’s a job share, part time, compressed hours or another working 
- 
                
                
                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 
- 
                
                
                , 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 
- 
                
                
                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 
- 
                
                
                to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a