Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- NIST
- ;
- Fraunhofer-Gesellschaft
- Nature Careers
- University of Groningen
- University of Sheffield
- DAAD
- NEW YORK UNIVERSITY ABU DHABI
- Umeå University
- University of Bergen
- University of British Columbia
- University of California, San Diego
- University of Pennsylvania
- Vrije Universiteit Brussel
- ; Swansea University
- AALTO UNIVERSITY
- Curtin University
- ETH Zurich
- Indiana University
- LIGO Laboratory
- Nanyang Technological University
- New York University
- SUNY University at Buffalo
- Technical University of Denmark
- Technische Universität Darmstadt
- The Ohio State University
- UNIVERSITY OF VIENNA
- Universiteit van Amsterdam
- University System of Georgia
- University of Central Florida
- University of Luxembourg
- University of Minnesota
- University of St. Thomas
- University of Texas at Austin
- University of Toronto
- University of Vienna
- University of Warsaw
- Zintellect
- 28 more »
- « less
-
Field
-
, Bloomington, Indiana, U.S.A. The project aims to experimentally design and optimize macroscopic entangled states of light based on femtosecond laser-driven bright squeezed vacuum states, multimode pulsed
-
to an exciting project at the intersection of data assimilation and optimal transport, focusing on Wasserstein Gradient Flows. The goal is to design innovative assimilation schemes using nonlinear approximation
-
. The goal is to design innovative assimilation schemes using nonlinear approximation tools—such as neural networks, spline functions, or Gaussian random fields. The core challenge? Developing methods
-
on reliability, security, and resilience of microgrid systems. This includes advanced control system design, modeling and analysis, control architecture design and communication-based control and optimization
-
at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post
-
stakeholders in non-engineering fields is required. Basic knowledge in mathematical optimization (e.g. first-order optimality, gradient descent algorithms, and basic linear or nonlinear programming) is required
-
optimizing the squeezing of the vacuum to minimize quantum noise, a prototype cryogenic interferometer, using machine learning for nonlinear feedback control, devising techniques to quell opto-mechanical
-
: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associate will be based at NYU Abu Dhabi and will directly report to Prof
-
is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
-
, supervising, motivating, and leading of staff; in analyzing workflow and determining optimal staff configurations to meet operational and service needs; and in resolving performance problems and other personnel