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. Preferential Factors Knowledge of machine learning, information retrieval, and natural language processing. Experience with conversational models and systems. Knowledge of Large Language Models (LLMs) and Large
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on quantitative data analysis and interpretation. Candidates are expected to show solid analytical skills, including the ability to work with large datasets, perform longitudinal and comparative analysis, and
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experience in the processing and integration of massive datasets (‘big data’), they will contribute to ecological modelling, environmental impact forecasting, and soil biodiversity analysis in the central
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 10 days ago
14 Apr 2026 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Chemical
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a Research Infrastructure? No Offer Description Work Plan The fellow will participate in the development and evaluation of a new large-scale data processing solution based on a decentralized
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research focusing on the project topics described above. Manage large datasets. Perform statistical analysis and econometric analysis of the data using appropriate software (Stata, R). Carry out and develop
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requirements: Master’s degree in Physics. The candidate must have previous experience with remote sensing data, burned area mapping algorithms and handling large databases. He must also have solid mathematical
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, building-footprint data, and artificial intelligence to collect and analyze building information at large scale. Using visible, ultraviolet, and infrared imagery, the system will identify important
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22 Apr 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Chemical engineering Researcher Profile First Stage Researcher (R1) Positions
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analytical methodologies applied to large volumes of data contained in the document content with language processing tools to map and understand how the discourses that emerge from environmental plans