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the Community of Madrid (reference CM/DEMG/2024-011). The project focuses on evolutionary ecology, particularly adaptation and phenotypic plasticity in biological invasions. Main responsibilities Maintenance
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16 Jul 2026 Job Information Organisation/Company UNIVERSITAT POMPEU FABRA Department Department of Economics and Business Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 4 Aug 2026 - 23:59...
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and in a coordinated manner. This will be achieved by an integrated approach combining virology, evolutionary genomics, epidemiology, diagnostics and AI-based analytical methods. JOB DESCRIPTION
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. This will be achieved by an integrated approach combining virology, evolutionary genomics, epidemiology, diagnostics and AI-based analytical methods. Emerging and re-emerging infectious diseases
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to the implementation and characterisation of AI/ML algorithms for 6G integrated sensing and communications systems, with particular emphasis on embedded platforms, digital processing architectures, efficient
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follow specialized training programs (e.g. ARENA). Specific Requirements Knowledge: Linear algebra, probability and statistics. Graph theory and algorithms on graphs. Machine learning and deep learning
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corrosion detection in metallic structures. The position focuses on the development, training and validation of artificial intelligence algorithms for multispectral image processing, with the objective
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algorithms in the context of the ERC WINC project (www.winc-project.eu ). Functions to be developed: Study recent trends in the field of quantum computing for communications and computing. Analyze limitations
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industries. Regenerative business is defined as business activities that enhance and thrive through the health of ecosystems in a co-evolutionary process. It is a novel business approach that aims to go beyond
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assessment tool that computes SOT efficiencies through autonomous numerical modelling and quantum transport simulations, and COMPASS, an evolutionary optimiser that proposes new candidate heterostructures