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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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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
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within integrated motor drives demands innovative design and manufacturing solutions. Advanced additive manufacturing techniques will be explored to improve thermal management across the entire system. 3
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at Newcastle University invites applications for a Research Assistant/Associate position in Hardware–Software Co-design for Heterogeneous Integrated Circuits within the Microsystems Research Group
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venues. Indicative directions (choose one or combine): Network-level design and multi-node cooperation (coordination, topology design, distributed/federated learning, etc.) Wireless resource allocation and
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innovation, robust governance and broad capacity building. AI LEARN is a consortium of 31 national and international partners from academia and the public and private sectors. About the project/work tasks
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side by side with experienced researchers who are committed to teaching, guiding, and supporting our newest hires, learning how we think about experiment design, dataset generation, time series analysis, feature