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Field
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Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The position comes with access to high performance computing resources and access to training
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mechanistic study of high corrosion susceptibility of additively manufactured biodegradable Mg and Zn alloys. Host: Helmholtz-Zentrum Hereon, Geesthacht, Germany, with PhD degree awarded by Kiel
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attitude Fascination with multiscale organisation of biological systems and the complexity of the brain Experience in spatiotemporal dynamics and corresponding simulations (including high-performance
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of topics is covered, from large-scale data management to data mining and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics
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Université de Versailles-Saint-Quentin) specializing in high-performance computing and numerical simulation. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UAR3441-JERCHA-006/Candidater.aspx
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consortia of cross-feeding bacteria ” • Generate and characterize bacterial mutants • Perform coculture experiments with different bacterial strains • Analyse the formation of clusters among bacteria using
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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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development and integration of functional materials in real-world applications. Fundamentals of the microstructural development will be studied in detail to fabricate sustainable and high-performance functional
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high-resolution X-ray computed tomography, including in-situ tomography during mechanical testing. Thermomechanical testing across strain rates from quasi-static (10⁻³–10⁻¹ s⁻¹) to high strain rates (10
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study Benefit duration One or more years Summary The Computing and Information Systems PhD Scholarship is offered to high achieving graduates of the University of Melbourne Master of Computer Science who