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and Machine Learning , with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable
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Research area Cybersecurity On-device machine learning (ML) is rapidly gaining popularity on mobile devices. Mobile developers can use on-device ML to enable ML features at users’ mobile devices
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Research area Cybersecurity On-device machine learning (ML) is rapidly gaining popularity on mobile devices. Mobile developers can use on-device ML to enable ML features at users’ mobile devices
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Primary supervisor Zhaolin Chen Research area Data Science and Artificial Intelligence Machine learning has recently made significant progress for medical imaging applications including image
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spanning machine learning, computational biology, and clinical research, working closely with leading international academic partners. The group provides a supportive, inclusive, and international
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Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including temporal data
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«Detaljer» for å lese mer om dette og tilpasse dine valg. Om cookies Bare nødvendige cookies UiO/Anders Lien 4th October 2026 Languages English English English 3-years PhD position in probabilistic machine
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Your function We are looking for a PostDoc who will do research on the intersection of machine learning (ML) and statistics. More specifically, the focus is on the development of algorithmic
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and optimization of advanced materials. These systems combine machine learning with machine-controlled materials synthesis and characterization tools for closed loop experiment design, execution, and
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PhD position: Develop Hybrid Machine Learning for Global Soil Mapping Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6