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a selection process for an indefinite employment contract within the framework of a Line of Research R&D+i line: Machine learning for the development of predictive artificial intelligence models
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announcing a selection process for an indefinite employment contract within the framework of a Line of Research R&D+i Line: Machine learning for the development of predictive artificial intelligence models
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Research Infrastructure? No Offer Description Mission: Study and propose techniques to improve the performance and energy efficiency of the training process of large artificial intelligence models in high
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Supercomputing Center (BSC) this shared data research platform is being created: a new scientific infrastructure for the analysis of biomedical data and the integration of artificial intelligence (AI) in health
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of research and artificial intelligence applied to medicine, with prior knowledge and experience related to signal analysis and deep machine learning. Where to apply Website https://sede.udc.gal/services
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-LE-251-010 / Job Offer: Computer science and artificial intelligence Code: UAB-LE-251-011 / Job Offer: Applied economics Code: UAB-LE-251-012 / Job Offer: Human geography Code: UAB-LE-251-013 / Job
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Technical Skills: Programming concepts. Java fundamentals. Specific Requirements Educational Requirements: Basic principles in cloud technologies. Notions of Artificial Intelligence. Fundamentals of Neural
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the research line of personalized digital feedback models using artificial intelligence to enhance writing skills and promote equity in university teacher training. The role involves developing and validating
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Requirements Educational Requirements: Artificial Intelligence. Deep Learning. Computer vision. Reasoning methods based on first-order logic. Design of complex computer systems. Professional Experience: In LLM
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at the national and regional level: the ALIA project, funded by the Spanish Secretariat of Digitalisation and Artificial Intelligence, and the AINA project, aimed at developing AI resources for Catalan, funded by