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. 3.4. Review, synthesis and analysis of the scientific and technical literature in the fields of biodiversity and environmental management, especially for large volumes of data. 3.5. Preparation
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or misleading information. This study will focus on advanced AI systems capable of analysing large amounts of distributed data to identify patterns and behaviours that may indicate the presence of misinformation
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to improve device autonomy. Tasks related to WP6: Bench and field tests, validation, assessment - Develop and apply artificial intelligence (AI) algorithms for the analysis of large volumes of biometric data
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/Project: This project builds an optimisation-driven framework to make large language models (LLMs) operate advanced scientific software reliably and efficiently. We will explore heuristic optimisation
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23 Sep 2025 Job Information Organisation/Company Barcelona Supercomputing Center (BSC) Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Country Spain Application
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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4 Sep 2025 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Technology » Information technology Researcher Profile First Stage Researcher (R1
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5 Sep 2025 Job Information Organisation/Company Technical University of Cartagena Department School of Telecommunications Engineering (ETSIT) Research Field Engineering » Industrial engineering
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, including data obtained from camera trapping and large databases containing data on the movement of species tracked by GPS. · Statistical analysis of data in R, which includes programming of algorithms
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Instituto de Investigación Sanitaria Puerta de Hierro – Segovia de Arana (IDIPHISA) | Spain | about 1 month ago
utility of liquid biopsy, Tumor microenvironment, Big Data and digital transformation, and Genetic and environmental factors predisposing to lung cancer. This contract is funded by the grant/project “SOSCLC