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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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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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Publications in relevant research areas Open-source software contributions Experience with: Foundation Models Large Language Models LLM Fine-Tuning Agentic AI Systems Diffusion Models Scientific Simulation
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
-informed learning techniques; Development of simulation-based optimisation methodologies, including Bayesian optimisation, derivative-free optimisation, multi-objective optimisation, model calibration, and
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available for both UK and international students within the Quantum Device Modelling Group (http://warwick.ac.uk/nanolab ) at the University of Warwick. At the intersection of quantum physics and materials
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tomography, high-pressure reactor) with numerical modelling (COMSOL) to quantify and predict dissolution. • Select and characterise biogenic shells (foraminifera, pteropods) from oceanographic cruises
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: Developing a system-theoretic framework that models learning as the feedback interconnection between continuous-time circuit dynamics and optimization algorithms. Designing novel energy-based learning
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
scales. The objective of this project is to explore a new simulation methodology based on neural surrogate models. By incorporating a “memory effect” into numerical solvers, our approach aims
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comparative, connective and entangled approaches and resort to qualitative and quantitative research methodologies. For more information on the Institute for History: https://www.universiteitleiden.nl/en