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of unstructured data related to lung cancer patients. - Extraction of structured data with Large Language Models. - Development of explainability mechanisms for the component to be developed. - Publication
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data storage and processing solutions using Big Data warehouses; - Developing and optimising ELT/ETL processes for integrating, cleansing and transforming data from different sources; - Process and
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component. The work to be developed by the student will involve extracting information from unstructured clinical text using Large Language Models (LLMs), with the goal of developing Trust worthy models. More
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large data sets, downscaling methodologies for global climate data projections to regional scales - information provided in the CV and/or in the motivation letter; Knowledge in either python or R
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Large Language Models Additional Information Benefits Monthly maintenance allowance amount: The amount of the monthly maintenance allowance corresponds to €1.040.98 euros. Eligibility criteria Selection
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large-scale distributed infrastructures (e.g., cloud computing data centers, HPC supercomputers).; • Research novel solutions for improving the performance and sustainability of hyperscale infrastructures
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processing and analysis, which it now puts at the service of digital transformation and the “Big Data” environments in which we live in, namely through a wide range of laboratories (NOVA ANALYTICS LABS powered
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processing and analysis, which it now puts at the service of digital transformation and the “Big Data” environments in which we live in, namely through a wide range of laboratories (NOVA ANALYTICS LABS powered
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4 Feb 2025 Job Information Organisation/Company ForestWISE Research Field Engineering » Industrial engineering Engineering » Other Researcher Profile First Stage Researcher (R1) Positions Master
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given to candidates: With a track record of publications related to information retrieval. With training and experience in the use of deep learning and large language models With Self-motivated and