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for molecular systems and thin films in combination with AI-driven process optimization. Help us shape the future of chemical research! Self-driving lab platform for photochemical and porosity research Join a
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shaped brain region, implicated in a wide range of functions. The cerebellar cortex, a thin layer of grey matter, is very tightly folded, resulting in a highly convoluted architecture. Its visualisation
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order to develop a versatile ‘magnetic topology printer’. Both PhD candidates will design and synthesize multilayered magnetic thin films using the NanoAccess facility, and will enjoy theoretical support
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been evolving towards architectures inspired by biological neural systems. In particular, neuromorphic photonics aims to develop artificial photonic neurons that process information through sparse, event
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time. You will combine porous-material synthesis, thin-film preparation and in situ infrared spectroscopy to connect molecular reactions, peptide self-assembly and macroscopic sealing. Develop smart
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this PhD project, you will develop responsive MOF-peptide coatings for adaptive protection and follow their chemistry in real time. You will combine porous-material synthesis, thin-film preparation and in
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technologies that enable cleaner and more sustainable industrial water use. As a PhD candidate, you will develop novel nanometer-thin polymer coatings, known as polymer brushes, that can control surface
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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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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