Sort by
Refine Your Search
-
Listed
-
Employer
- Argonne
- Princeton University
- University of North Carolina at Chapel Hill
- Nature Careers
- University of Utah
- Villanova University
- Carnegie Mellon University
- Georgetown University
- LIGO Laboratory
- Michigan State University
- North Carolina State University
- Pennsylvania State University
- Rutgers University
- Stony Brook University
- TTI
- Texas A&M University
- The University of Arizona
- The University of North Carolina at Chapel Hill
- University of Kentucky
- University of Minnesota
- University of St. Thomas
- Wayne State University
- 12 more »
- « less
-
Field
-
The Photonics and Optomechanics Group at the National Institute of Standards and Technology (NIST) in Gaithersburg, MD is looking for postdoctoral scholars to develop nonlinear photonic integrated
-
Summary By exploiting recently discovered analogies between acoustics, nonlinear waves, and quantum mechanics, this research will create the foundations for a path to promising and validating modes
-
flexibility to choose research projects and mentor(s) among the faculty members in the department. Possible research areas and related desired background consist of: Research on the dynamics of nonlinear
-
with measurement electronics for data acquisition, etc. Experience in the following areas is beneficial but not required: nonlinear optics (e.g. optical parametric amplifiers), electrical switching, high
-
and application of nonlinear x-ray spectroscopies. The successful candidate will work closely with experimental collaborators conducting measurements at large-scale x-ray user facilities, including
-
engineering or a related discipline, a demonstrated scientific track record and hands-on expertise in some of the following areas: Integrated linear and nonlinear photonics and integrated electro-optics
-
ultrafast nonlinear optical spectroscopy techniques—such as transient absorption and impulsive vibrational spectroscopy—the role aims to probe polariton-controlled electronic and nuclear dynamics occurring
-
analysis of time-frequency, ERP, connectivity, source-estimated, and nonlinear complexity features of EEG signals, as well as machine learning for neural decoding. Mentorship experience, including training
-
improvements. Examples include optimizing the squeezing of the vacuum to minimize quantum noise, a prototype cryogenic interferometer, using machine learning for nonlinear feedback control, devising techniques
-
The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
initiative to study corporate climate action and its potential to catalyze social tipping points (i.e., nonlinear shifts in societal norms, policy, technology uptake, and consumer behavior) that will