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Field
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measurements, are used to study carrier transport. Changes in linear and nonlinear optical susceptibilities in an applied DC or THz electric field are also of interest, including the Franz-Keldysh effect
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, Interpretable Machine Learning (IML) and Sparse Nonlinear System Identification (S-NSID), the framework offers a transparent alternative to traditional 'black-box' approaches. The process begins with rigorous
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Description: Our research group is working on metamaterials and related electromagnetic issues at Nagoya Institute of Technology (NIT), which is known as one of the top research universities in
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3 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire Interdisciplinaire Carnot de Bourgogne Research Field Physics Researcher Profile Recognised Researcher (R2) Application
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LMPS - CNRS - CentraleSupélec - ENS Paris-Saclay | Gif sur Yvette, le de France | France | 7 days ago
13 Apr 2026 Job Information Organisation/Company LMPS - CNRS - CentraleSupélec - ENS Paris-Saclay Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1
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Nonlinear Distributed Control School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Pablo Baldivieso Monasterios Application Deadline: Applications accepted all year
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Role: Postdoctoral Research Associate – Nonlinear and Time-Varying Photonic Systems Grade and Salary: Grade 7 - £37,694 - £47,389 FTE and working pattern: Full-time (35 hours per week), Fixed for 12
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The Max-Born Institute for Nonlinear Optics and Short Pulse Spectroscopy (MBI) conducts basic research in the field of nonlinear optics and ultrafast dynamics arising from the interaction of light
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NIST only participates in the February and August reviews. Co-advisor: Dr. Angela Stelson, S-parameters calibration lead. Commercial acoustic spectroscopy is stuck below 300 MHz, which limits our
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computer code when fast approximations are available, Biometrika, 87(1), 1–13 (2000). [2] P. Perdikaris, M. Raissi, and G. E. Karniadakis, Nonlinear information fusion algorithms for data-efficient multi