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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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Brushless Doubly Fed Machines (BDFMs) are emerging as a promising technology for offshore wind turbine generators due to their fractional-sized power converters, elimination of rotor brushes and
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reliability. These trends, together with wide-bandgap converters and fast-switching voltage waveforms, impose increasingly severe electrical stresses on winding insulation. The challenge is particularly
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of Population Health) provides an excellent environment for multi-disciplinary research and teaching and for professional and support staff. We work together to answer some of the most important questions about
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Abuelita: This is a pilot study of a multi-generational family-based digital cancer and obesity prevention intervention (“Con Cariño Abuelita ”) for Hispanic cancer survivors and their daughters/daughter’s
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elementary windings, tailored to their specificities: a wide operating temperature range (4 K – 77 K) and high currents, initially up to several kA and later up to several tens of kA. The objective
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Introduction section in AFAS: Within the framework of a nationwide Dutch consortium, the Research department at Sanquin is looking for three PhD positions in Precision Hemostasis and Multi-Omics
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prioritizes projects that can be grounded in ongoing SI research streams on entrepreneurship and business building and scaling, including topics such as corporate venturing and impact investing by venture
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embedding of methodological guardrails (technology scale-up rates, carbon dioxide removal, CO2 storage, justice) into scenario parameterization and design across the modelling teams Contribute
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analysis: exploring relationships among quantum divergences and their role in statistical efficiency. Simulation and numerical validation: using small- to mid-scale quantum simulators and classical emulators