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Postdoctoral researcher (M/F), synthesis of crystal phase heterostructures by Molecular Beam Epitaxy
outcomes. Molecular beam epitaxy (MBE) growth of GaAs nanowires on patterned Si/SiO₂ substrates. Structural analysis by electron microscopy (in situ TEM, electron diffraction, zone-axis indexing). Automated
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structures for single photon emitters, a key component of the future quantum technologies that will revolutionize society. He/she will develop nanostructures by molecular beam epitaxy (MBE) and will perform
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state-of-the-art lab methodology, comprising electron beam lithography (EBL), oxide sputtering, atomic force microscopy (AFM), and transport measurements. WORK-LIFE BALANCE: We offer flexible working
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with the newly installed Thermo Fisher Helios Hydra UX dual beam and state of the art TEM Thermo Fisher Spectra Ultra with Thermo Fisher Illiad EELS sys-tem in IKZ’s Application Lab for In Situ Electron
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the high-energy electrons and the laser pulse [2-4], and (ii) the use of multiple foils to focus the electron beam to very small size, and use the focused electron beam itself as the source of strong fields
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for new applications in microelectronics (silicidation for electrical contacts) and photonics (waveguide writing). The researcher will also be responsible for implementing beam-shaping techniques to produce
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films and test their structural and electrical properties for use as photovoltaic electrodes. The idea is to induce nanowire aggregation within a polymer matrix using an optical beam confinement method
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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students also are expected to take up teaching assistant tasks. The experimental work involves the study of clusters in molecular beams using mass spectrometry, infrared and visible light spectroscopy using
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 4 days ago
of material deposited, while maintaining the expected accuracy. Part of the activity will also involve implementing Artificial Intelligence (AI) methods similar to computer vision to facilitate this prediction