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. Mikhaylovskiy. THz-driven spin dynamics in orthoferrites with Kramers and Non-Kramers rare-earth ions. Phys. Rev. Lett. 135, 246703 (2025). https://doi.org/10.1103/ldnx-67qz [2] R. A. Leenders, D. Afanasiev, A. V
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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
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from waveguides on the chip. By using the latest advances in electrooptic nonlinear materials, these waveguides can adjust the brightness and phase of the light at very high speed. The METAPIC project is
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at the Institute of Molecular Genetics of Montpellier (IGMM UMR5535, CNRS and University of Montpellier), in a highly international and interdisciplinary research environment. Montpellier is a dynamic Mediterranean
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical Engineering at Aalto University explores synergies
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of Systems and Synthetic Biology, Wageningen University(The Netherlands). Informal enquiries can be made to Pablo Carbonell pablo.carbonell@csic.es . Where to apply Website https://lifehub.csic.es/synbio
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of the recently discovered nonlinear effects of plasmon excitation and 2) explore their temporal dynamics so as to control the dynamic and nonlinear properties of these plasmon sources through the chemical
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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral position available within the research project entitled: “Nonlinear Studies of Stratified Oceanic
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the complex multiscale nonlinear interactions at the origin of such extreme events. In this project, you will develop machine learning-based reduced-order models which can accurately forecast
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, when dynamics are complex, nonlinear and partially unknown, such a model is typically obtained from observations by performing system identification -- one notable example is given by Gaussian process