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Oxford Nanopore Technologies (ONT). Your role will be central in creating and applying bioinformatics and machine learning tools to analyze long-read data and decipher cap-specific signals from raw
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The Energy Systems and Infrastructure Assessment (ESIA) division at Argonne provides the rationale for decision makers to improve energy efficiency. ESIA develops and uses analytic tools to help
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criteria Knowledge of Medieval Latin or Neo-Latin Familiarity with corpus annotation standards and tools Familiarity with computational semantics methods * Please note that this is a PhD level role but
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texts or historical languages, especially Latin Familiarity with corpus annotation standards and tools Knowledge of diachronic NLP or time-sensitive semantic modelling Interest in digital humanities
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mechanics, optical components, thermal management, and tracking or control mechanisms. Use existing simulation tools (e.g., ray-tracing, CFD, thermal and structural solvers) to analyze optical performance
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
actors (e.g., cities, regions, companies, investors, civil society). The ideal candidate will research how to use LLMs as tools for mitigation strategy and accountability and scrutinize them as systems
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assessment tools). The Post Doctoral Researcher will be working in a PI research team led by Dr. Harriet Schellekens (anatomy & neuroscience), Prof. Ger Clarke (psychiatry) and Dr. Karen O’Connor (clinical
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problems incorporating AI-based optimisation technology is essential. The main focus of this position will be on developing AI and optimisation tools to support interactive explainable and fair work
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through Stochastic Control (a brief description of each these is as follows (additional details are in the further particulars): Learning with Structured and Geometric Models. We will apply tools from
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combining solar, wind, battery storage and next-generation digital and modelling tools. This exciting role would suit a researcher who thrives at the intersection of engineering, data science and industry