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Field
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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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24th November 2025 Languages English Norsk Bokmål English English PhD Fellowship in information technology - AI for medical image analysis Apply for this job See advertisement Job description The
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scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and machine learning
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, biologists, and data scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and
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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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in the field of heat pumps and refrigeration systems Knowledge of English. Specific Requirements Modelling and Simulation of CO2 Refrigeration Systems based on liquid piston compression, validated with
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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