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for semantic search, interpretation summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications. The project incorporates advanced NLP models, in-context
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for semantic search, interpretation summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications. The project incorporates advanced NLP models, in-context
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approaches to optimize fundamental mathematical signal models for the unique geometry of OPM sensor arrays. Pioneer the development of 2-MEG research studies which involve two people, both monitored by MEG
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initiative with the goal of developing, training and making available high-quality open foundation models with hundreds of billions of parameters, adapted to Swedish linguistic characteristics, cultural
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challenges. Instead of looking at individual plant parts in isolation, you will develop mathematical models and simulations to examine how the whole plant coordinates mineral nutrient uptake with growth
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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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mathematical models and of efficient numerical discretisation/linearisation schemes, relying on mathematically rigorous arguments, is one of the key research topics in the group. Where to apply Website https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
, storing, disseminating, and translating data into actionable insights. * Algorithms and Models: Mathematical, computational and statistical tools that empower researchers and stakeholders to discover
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
, storing, disseminating, and translating data into actionable insights. * Algorithms and Models: Mathematical, computational and statistical tools that empower researchers and stakeholders to discover
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and the mathematical foundations of asset pricing. Starting from discrete-time models and moving to random walks, the course develops the principle of no-arbitrage and builds toward continuous-time