Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
aims to develop hybrid quantum–classical approaches for modeling multiphase flows governed by complex, nonlinear dynamics across multiple scales. The postdoctoral researcher will investigate how
-
phenomena, nonlinear dynamical systems, dimensional reduction theory for dynamical systems, non-autonomous dynamical systems, time-varying systems, adaptive observation, active observation, nonlinear time
-
diffraction tomography, with a focus on inverse multiple-scattering algorithms. Implement and evaluate both linear approximation models and nonlinear high-order scattering approaches for accurate imaging
-
, nonlinear optics, and nanotechnologies. The studies will include the laser-induced breakdown spectroscopy, high-order harmonic generation in laser-induced plasmas, gases, and solids, low-order nonlinear
-
nonlinear and coupled equations. Experience with Python or C++ and both Git and UNIX Excellent communication skills, with a demonstrated ability to present complex technical results to diverse technical and
-
BookTrust. (2025). Reading for a brighter future: BookTrust’s strategy 2025–2030. https://files.booktrust.org.uk/docs/documents/BookTrust-Strategy-2025-2030.pdf?v=1758034310 Cahoon, A., Gilmore, C
-
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
-
PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
languages (e.g., Python, Julia, Matlab) Strong interest in process modeling and simulation, including novel methods and approaches such as neural networks and nonlinear optimization Ability to analyze complex
-
of advanced functional imaging methodologies for whole-brain mapping of neuronal activity (such as calcium functional imaging, nonlinear microscopy, and light-sheet microscopy), in parallel with monitoring
-
Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
. Scientific Environment The Nonlinear Systems and Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical