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implementation of algorithms for generating landscapes, structures, and elements of simulation environments. The goal is to provide a diverse and high-quality data bank for use in simulation and artificial
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simultaneously). Other degrees will not score in this section. Demonstrable knowledge in the field of the tasks to be carried out (machine learning in environments such as Python and others) that can be accredited
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to a maximum of 36.) 2.2. Accredited experience in the administration of funded projects and applications in European or international calls developed in the university environment: 7 points per year (up
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to a maximum of 36.) 2.2. Accredited experience in the administration of funded projects and applications in European or international calls developed in the university environment: 7 points per year (up
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of credits passed. Other degrees will not be weighted in this section. C. Demonstrable knowledge in the field of the tasks to be carried out (Machine learning and environments such as Python, Pytorch
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our research areas and cultivating an environment that promotes innovation, collaboration, and the exchange of ideas. We are confident that these initiatives will attract top talent and enhance
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our research areas and cultivating an environment that promotes innovation, collaboration, and the exchange of ideas. We are confident that these initiatives will attract top talent and enhance
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our research areas and cultivating an environment that promotes innovation, collaboration, and the exchange of ideas. We are confident that these initiatives will attract top talent and enhance
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national and international calls that allow funding for research. - Disseminate research results in national and international environments that adapt to the CIF indicators. - Promote the development