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at cryogenic temperatures. Perform spectroscopy and optical imaging of quantum emitters. Perform advanced coherent excitation of individual emitters with picosecond laser pulses. Perform quantum-optical
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-resolution imaging and spectroscopy of nanoparticles using advanced broad- and focused-beam transmission electron microscopy (TEM) techniques. Structure–Catalysis Relationships at the Atomic Scale Use custom
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competent users of neutron facilities. The digital twins will allow students to perform virtual experiments. ACCESS will make digital twins for ESS instruments on imaging (ODIN), inelastic scattering (BIFROST
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imaging and spectroscopy of nanoparticles using advanced broad- and focused-beam transmission electron microscopy (TEM) techniques. Structure–Catalysis Relationships at the Atomic Scale Use custom
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
experience with TEM techniques including aberration-corrected high-resolution imaging, diffraction, ETEM, EFTEM and EELS. It is critical, that you have command of these TEM techniques under the lowest possible
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are expected to orient more strongly towards hospital-at-home and strengthened collaboration with primary care and municipal services to support more integrated and coherent patient pathways. These developments
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are expected to orient more strongly towards hospital-at-home and strengthened collaboration with primary care and municipal services to support more integrated and coherent patient pathways. These developments
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and challenging experiments inspire you? This PhD project is part of a research project that will develop and implement a focusing neutron optics prototype. Neutrons are inherently excellent probes
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of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD project falls under the collaboration between
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, computer science, and statistics The objective of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD