{"id":42242,"date":"2026-01-09T13:04:11","date_gmt":"2026-01-09T12:04:11","guid":{"rendered":"https:\/\/www.ieec.cat\/?post_type=project&p=42242"},"modified":"2026-01-09T13:08:07","modified_gmt":"2026-01-09T12:08:07","slug":"pic","status":"publish","type":"project","link":"https:\/\/www.ieec.cat\/es\/project\/pic\/","title":{"rendered":"Port d’Informaci\u00f3 Cient\u00edfica"},"content":{"rendered":"

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Catalonia Space Labs<\/p>\n

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El Port d\u2019Informaci\u00f3 Cient\u00edfica (PIC) es un centro cient\u00edfico y tecnol\u00f3gico, gestionado en virtud de un acuerdo de colaboraci\u00f3n entre el CIEMAT y el IFAE, especializado en el desarrollo de herramientas y m\u00e9todos avanzados para el an\u00e1lisis de datos cient\u00edficos. El PIC participa en proyectos de investigaci\u00f3n con gran volumen de datos en m\u00faltiples disciplinas, como la f\u00edsica de part\u00edculas, la astrof\u00edsica, la ciencia de los materiales y la biolog\u00eda. Su principal objetivo es acelerar la investigaci\u00f3n haciendo m\u00e1s eficaz el an\u00e1lisis de datos mediante el uso del aprendizaje autom\u00e1tico, la computaci\u00f3n de alto rendimiento y el big data, as\u00ed como la computaci\u00f3n distribuida para apoyar la investigaci\u00f3n colaborativa.<\/span><\/p>\n

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Infraestructuras\/equipamientos<\/b><\/h2>\n

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Gesti\u00f3n de datos<\/strong><\/h3>\n

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R<\/span>\u00a0Almacenamiento de datos a escala de m\u00faltiples petabytes, manteniendo los datos accesibles con control de acceso.
R<\/span>\u00a0Espacio de datos escalable y de alto rendimiento para analizar y compartir datos a trav\u00e9s de la web.
R<\/span>\u00a0Conservaci\u00f3n de datos a largo plazo.
R<\/span> Asesoramiento sobre el dise\u00f1o, la implementaci\u00f3n y el funcionamiento de flujos de trabajo automatizados de procesamiento y an\u00e1lisis de datos.<\/p>\n

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An\u00e1lisis de datos<\/strong><\/h3>\n

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R<\/span> Cl\u00faster con CPU y GPU para ejecutar tareas de an\u00e1lisis de datos.
R<\/span>\u00a0Acceso web a recursos de CPU y GPU a trav\u00e9s de cuadernos Jupyter.
R<\/span>\u00a0Asesoramiento sobre la implementaci\u00f3n de flujos de trabajo de an\u00e1lisis y la aceleraci\u00f3n del rendimiento.<\/p>\n

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Desarrollo de software<\/strong><\/h3>\n

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R<\/span>\u00a0Plataforma web GitLab para gestionar el control de versiones y CI\/CD.
R<\/span> Asesoramiento para implementar metodolog\u00edas DevOps en el desarrollo de software cient\u00edfico.<\/p>\n

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Formaci\u00f3n<\/strong><\/h3>\n

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R<\/span> Python.
R<\/span> Machine Learning.<\/p>\n

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