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Field
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thermal characterization of prototype devices, including measurements under vacuum and cryogenic conditions Integration and testing of probes in scanning probe instrumentation Collaboration with academic
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can significantly improve the treatment and outcome of oncological patients. Project background You will contribute to the design and implementation of machine-learning-based sparse 3D image
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project is to overcome these limitations through the design of a flexible, quantum sensing foil based on an atomically-thin two-dimensional (2D) material. Our approach consists in using optically-active
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tissue, cell cultures and pellets. Performs sectioning for semi-thin and thin sections in the ultramicrotome. Stains the sections collected onto grids for contrast. Loads nanoparticles and extracellular
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followed. During conventional 3D imaging, the goal is to resolve every single voxel of the 3D volume. However, the underlying dynamic changes can be temporally sparse and highly localized, meaning that only
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followed. During conventional 3D imaging, the goal is to resolve every single voxel of the 3D volume. However, the underlying dynamic changes can be temporally sparse and highly localized, meaning that only
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–fluid interactions for DARPA FLARE and ONR PLIANT. Design and conduct experiments on acoustically driven thin films and pintle-based liquid atomization using high-speed imaging, acoustic/electrical
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by sequences of femtosecond laser pulses, using a suite of femtosecond time-resolved magneto-optical spectroscopies, as well as magnetic imaging using a dedicated magnetic force microscope and magnetic
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shaped brain region, implicated in a wide range of functions. The cerebellar cortex, a thin layer of grey matter, is very tightly folded, resulting in a highly convoluted architecture. Its visualisation
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, implementing, and publicly releasing LLMs with efficient architectures (including adaptive memory, latent tokenization, sparse attention, multi-token prediction, adaptive depth, among others). The recent