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Field
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analysis and benchmarking We are seeking a profile related to the field of research in computer science, artificial intelligence, and quantum technologies. Where to apply Website https://sede.udc.gal
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of the world. The three centres are launching a shared data research platform. A new scientific infrastructure for biomedical data analysis and integration of artificial intelligence (AI) in health research
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. This role focuses on the automation of microscopy acquisition protocols, contributing to the development of high-throughput platforms combining electron microscopy and artificial intelligence. PeCATHS is
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FieldEngineering » Geological engineeringEducation LevelPhD or equivalent Skills/Qualifications Good computer skills. Advanced programming in Matlab or similar environments. Experience with Artificial Intelligence
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healthcare. Required qualifications: MSc or PhD in Computer Engineering, Computer Science, Bioinformatics, or a related field Strong technical background in one or more of the following areas: artificial
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Research Centres: CCUN (Cancer Centre Clínica Universidad de Navarra ), BIOMA (Biodiversity and Environment Institute ) and DATAI (Institute of Data Science and Artificial Intelligence ), ICS (INSTITUTE
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Manufacturing by Directed Energy Deposition), implementing model reduction techniques and applying artificial intelligence to enhance the precision and efficiency of simulations. The candidate will also
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the development of components using agent-based modeling techniques, reinforcement learning, and other explainable artificial intelligence modules for decision-making, situation assessment, and operational support
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research platform is being created: a new scientific infrastructure for the analysis of biomedical data and the integration of artificial intelligence (AI) in health research projects. The BioAlData Platform
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staff (contract type: open-ended contract; job category: senior technologist) to collaborate with the funded line of research “Big Data, Data Space, Artificial Intelligence and Health”. Reference: I-PAS