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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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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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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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Infrastructure? No Offer Description Mission: Participate in the development of high-performance Shallow Water models. Functions to be developed: To develop a tool for baroclinity simulation of the atmospheres
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Description The main tasks to be carried out by the selected candidate will be the following: ● Develop new methods for the uncertainty quantification of non-linear statistical models using the 'online
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position within a Research Infrastructure? No Offer Description Mission: Execute the development of single photon detector arrays for telecommunications intended for quantum networks. Functions to be
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of embryonic development, within the Project “Bases celulares de la morfogénesis del corazón” (Grant No. PID2025-171126NB-I00), funded by MICIU/AEI /10.13039/501100011033 y por FEDER, UE, under the call
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staff position within a Research Infrastructure? No Offer Description Mission: Develop an Innovation and Research project, acting as a bridge between technical development and the attention/resolution
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Intelligence (LLMs, RAG) and Cloud services. Functions to be developed: Assist in optimizing data ingestion, preparing datasets, and designing vector database structures/bases for semantic queries. Design
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to candidates interested in pursuing a PhD in cellular and synaptic neuroscience and developing a career in research. The candidate will be encouraged to progressively develop scientific independence, contribute