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Priority may be given to the following designated employment equity groups: women, Indigenous Peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons
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archaeological signatures (e.g., micro-relief, edge structures, etc.) – Design and implementation of new deep learning architectures (both supervised and unsupervised/few-shot, 2D and 3D) for an efficient and
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language processing that address concrete problems and are both theoretically rigorous and interpretable. The PhD is funded by the ERC CoG PANDORA (Deep Multimodal Learning for Mining and Generation of Arguments
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to rapid tumour adaptation and resistance. The DMG ADvanced machine learning-Assisted Precision Treatment Strategy (ADAPTS) Program is a cutting-edge framework designed to optimise treatment strategies by
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funded research project “Navigating volatility in different welfare state contexts (VOLARE)”. This project analyses how social policy design interacts with the month-to-month income variability experienced
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23 Jul 2026 Job Information Organisation/Company University of Twente (UT) Research Field Educational sciences » Education Educational sciences » Learning studies Researcher Profile First Stage
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This PhD asks a different question: instead of demanding more data, can we build language models that learn smarter from less? You will design AI architectures that adapt to the structure of a
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Join us in developing machine-learning accelerated simulation methods to understand and optimize interfaces in hybrid organic-inorganic materials for sustainable energy devices. Your work
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proteins be designed for enabling continuous biomolecular sensing? That’s your question! Information Biosensing technologies are being developed for the continuous monitoring of biomolecules in areas such as
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We have a vacancy for a PhD candidate in machine learning