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HRER2026/357-222 Perfil R1 para desarrollo de algoritmos de IA / R1 profile to develop AI algorithms
. // Software development for the European project SkincAIr. Desarrollo de algoritmos de IA para la detección de enfermedades tropicales desatendidas // Development of AI algorithms for the detection of Neglected
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Proyectos de Generación de Conocimiento 2025, Ministerio de Ciencia, Innovación y Universidades, under the supervision of Dr. Miguel Torres, Genetic Control of Organ Development and Regeneration Laboratory
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Mission: Support research to improve the management of renewable energies. Functions to be developed: Develop machine learning algorithms. Implement and validate computational models. Plan networks with
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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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learning y deep learning para el análisis de datos de observación de la Tierra. Application of machine learning and deep learning algorithms for Earth Observation data analysis. 5. Manejo de plataformas
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research group on genetics and the management of diabetes and endocrine
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future of smart agriculture. II. Positions and Requirements A. Young Scientists: 5 Positions Research Area 1: Scientist in Bio-breeding Algorithms Develop intelligent decision-making algorithms and models
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/ProvinceValladolidCityValladolidPostal Code47011StreetPso. Prado de la Magdalena, 3-5Geofield Contact State/Province Valladolid City Valladolid Website https://isp.uva.es Street Pso. Prado de la Magdalena, 3-5 Postal Code 47011 E-Mail
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, finite difference schemes, stability analysis (Von Neumann), algorithms forN-fields (Barnes–Hut) and numerical integration. Theoretical foundations of general physics and astrophysics. The principles
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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