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SD-26006 PHD STUDENT IN METAL DECORATED METAL OXIDE NANOSTRUCTURES FOR ENHANCED PLASMONIC LIGHT H...
metal oxide nanostructures — materials that combine metal nanoparticles (Au) with semiconducting oxides (ZnO, CuO) to boost optical absorption and opto-electronic performance. The project is part of a
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bioinformatics field. Developing specialized methods for automatic or semi-automatic, possibly visually aided evaluation and model selection of such algorithms. Developing tailored solutions to integrate domain
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
on unravelling the origin of the elevated corrosion rates of AM-built Mg- and Zn-alloys. The work will revolve around micro- and nanoscopic visualization of initial micro-galvanic activity upon metal contact with
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
, scanning speed, layer thickness, scan strategy and subsequent heat-treatment) has a significant effect on the microstructure (grain size, alloying elements distribution, crystallographic texture), mechanical
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
at metal-electrolyte interface; gain understanding of the factors influencing the initiation and propagation of localized corrosion and associated mechanically assisted corrosion. Research stays are planned
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to three thematic modules (Cognitive Neuroscience, Clinical and Translational Neuroscience, Development of Neuroimaging and Modelling Methods). Our faculty is very interdisciplinary and comprises more than
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physiological methods to investigate the effect of singing exercise on vocal muscle properties and vocal performance in songbirds. Specifically, this includes developing and using behavioral paradigms to control
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leading team, access world-class research facilities, publish in top journals, and develop expertise in soil and climate change science, fieldwork, laboratory methods, and environmental modelling.
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
polyoxometalates Using suitable characterization methods to characterize the synthesized materials Using machine learning tools to tune the synthesis parameters in a feedback loop and enhance the properties
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immune cells, platelets and plasmatic factors in the context of cardiovascular and infectious diseases. You will use a broad range of in vitro and in vivo methods to dissect the interplay between