Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of California, Merced
- Princeton University
- Charles University, Faculty of Pharmacy in Hradec Králové
- Duke University
- GFZ Helmholtz-Zentrum für Geoforschung
- HITS gGmbH
- Harvard University
- Heidelberg Institute for Theoretical Studies (HITS gGmbH)
- Helmholtz Association of German Research Centres
- Inria, the French national research institute for the digital sciences
- Lehigh University
- Rutgers University
- Stony Brook University
- University of Central Florida
- University of Minnesota
- Université Bourgogne Franche-Comté
- Yale University
- 7 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 1 day ago
reliable methods for robust control (H∞) to determine the robustness radius γ as a function of the system's physical parameters. Develop algorithms, reliable visualization tools, and software capable
-
and application of advanced computed tomography methods, with a focus on photon-counting CT, quantitative image analysis, and machine learning. The position will involve work across several NIH-funded
-
Position overview Position title: Postdoctoral Scholar Salary range: See Table 23 for the salary range for this position. A reasonable estimate for this position is $71,491-$85,736 Percent time
-
performance and continued funding. Please note, this position is not eligible for visa sponsorship including H-1B or Green Card sponsorship. This position will provide scientific and technical support for Dr
-
Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | 3 days ago
research institute. HITS conducts basic research in the natural, mathematical and computer sciences with a focus on the processing, structuring, and analyzing of large amounts of complex data and the
-
research using mixed methods, qualitative and quantitative research designs including interviews, focus groups, surveys, and experiments, analyzing quantitative and qualitative data, publishing in leading
-
research in the natural, mathematical and computer sciences with a focus on the processing, structuring, and analyzing of large amounts of complex data and the development of computational methods and
-
) independence to lead a project as well as willingness to work in a team; (g) an open mind to learn new methods from junior researchers and collaborators; (h) good scientific presentation and writing skills
-
experiments, seeing projects through to completion). ● Hands-on experience with immunofluorescence, microscopy, bacterial culture, histology, or sequencing-based methods. ● Experience with animal
-
and machine-learning methods for rapid surrogate modeling, model calibration, state estimation, uncertainty quantification, and physics-informed prediction. Contribute to U.S. Department of Energy