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Field
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two complementary research groups - Advanced Doped Diamond Materials (AD2M) and Gas Sensors and Functional Materials (GSFM) - the department develops high-quality thin films with tailored structural
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Would you be interested in exploring how multi-agent aerial manipulation can contribute to construction, in particular by assembling a pavilion? Job description Advancement of aerial robotics
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from clinical specimens; Develop, optimize, and apply DIA- and PRM-based proteomics methods; Perform quantitative data analysis, normalization, quality control, and statistical interpretation
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provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal models. As AI capabilities advance, the computational
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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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position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We
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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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, 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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on the theory of deep learning will investigate questions such as the structure and expressivity of emerging neural architectures relevant to space, such as implicit neural fields, continuous normalising
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will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses in