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Field
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performance, possibly using the learned reduced-order models and the spatially distributed sensors. Data-driven predictive control design of PDEs based on Koopman operators and/or relying on sparse
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The successful candidate will develop generative machine-learning methods for amorphous molecular thin films — the supramolecular structures that govern the performance of organic-electronic materials
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at Aix-Marseille University, where she will be granted student status. Boronization is a well-established technique in tokamak operation, involving the deposition of a thin boron layer on the inner
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these articles, an additional 5 points will be awarded, setting the maximum for this section at 15 points. • Advanced technical knowledge: Experience in the use of solution-based thin-film fabrication
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optical and spectroscopic characterization techniques such as AFM, SEM and TEM as well as XPS to characterize the deposited metallic thin film in depth. Investigating the developed electrodeposition
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to endow these bio-inspired models with efficient processing capabilities. Structural plasticity for example consists in letting the network’s sparse connectivity evolve throughout training, while delay
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volume is present on thin tin sheet targets as used in EUV sources [Liu, Phys. Rev. Appl. 20, (2023)], and work on an alternative EUV source solution [Mostafa, Appl. Phys. Lett. 123, (2023)]. Background
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the opportunity to work at the forefront of this rapidly developing field. The research project focuses on moiré materials: atomically thin layers stacked with a small twist angle, creating a new, larger periodic
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at radiochemical laboratories of PSI, molecular scale investigations of water and proton transport by quasi-elastic neutron scattering QENS at SINQ / PSI, and dielectric characterization of thin clay films at TU
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universal law for expanding plasma [Sheil, Phys. Rev. Lett. 133, (2024)], and found that less than half the initial droplet volume is present on thin tin sheet targets as used in EUV sources [Liu, Phys. Rev