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for Quantum Computing Analytics (PGI-12) is to model and improve quantum computing systems on multiple levels. From optimal control of the hardware, over error mitigation and compilation, to application
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integration, finite-volume and finite-element methods, variational formulations, structure-preserving discretisations, optimal transport, and the numerical analysis of partial differential equations. The second
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projects focusing on hPSC differentiation, and modeling neurodegenerative diseases. ● Standardize and optimize advanced molecular and imaging assays ● Analyze complex multi-omic or functional datasets
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analysis. Desirable requirements: Knowledge and experience in structural analysis of glasses, amorphous materials, or nanomaterials will be considered an advantage. Experience with ePDF, fluctuation
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a small fraction of the sample voxels need to be re-measured to detect the change, rather than the complete 3D volume. Microchip samples are also highly structured, with known design rules, which can
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on identifying suitable electrode materials and optimizing reaction conditions, electrolyte composition, and solvents, using three-electrode configurations and organic carbonate-based media. Building
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, enabling unprecedented control over wavefront manipulation through subwavelength artificial structures. By harnessing the linear and nonlinear optical properties of meta-atoms, MSs offer a versatile
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extensive electromagnetic modeling to optimize the waveguide structures for minimal loss, efficient confinement, and effective mode matching with external optical components. Particular attention will be
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experimental methods for space applications. The successful applicant will independently conduct relevant research activities, including the design, simulation, and construction of instruments for space
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feedstocks – including fibre structure, crystallinity, purity, accessibility and water retention – and relate these parameters to the suitability of the raw materials. You will plan and carry out systematic