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** Number of Awards: - 1 grant funded by the Spanish Government. ** Applications are invited for: - one (1) fully-funded PhD student position at the Group on Interactive Coding of Images (GICI
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information theory (Shannon entropy, compressibility, effective complexity and logical depth). The data basis for the analyses are two-fold: first, recent connectome data, i. e. large datasets of all synaptic
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barriers that must maintain integrity when exposed to stretch or compression within the body. Cell divisions can relieve tissue tension but cells must divide while remaining attached to their neighbours
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using photo and design software tools such as Photoshop and Illustrator Experience prepping images and graphics for web use, such as cropping, resizing, compression, and color profiles Knowledge of basic
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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to: Developing advanced end-to-end systems for the enhancement, compression, storage, and display of CBCT and CT images acquired using low-radiation dose protocols, as well as MRI images obtained through fast
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developing innovative methods focused on enhancing the visual quality of Cone-Beam Computed Tomography (CBCT) and other medical imaging modalities, creating advanced compression techniques for efficient
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to contribute to a highly collaborative, international project developing open-source low-field MRI systems for neuroscience research; Have research experience in compressed sensing and/or multi-contrast image
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care. An image renewal center provides access to wigs, prosthetics, compression sleeves and garments. A resource center offers additional services to patients and families, including psychotherapy
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systems engineering efforts. This position offers a flexible work environment, including options for a hybrid work week, flexible scheduling, and a compressed work week. Outstanding UA benefits include