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position within a Research Infrastructure? Yes Offer Description Résumé En tant que Directrice adjointe ou Directeur adjoint en charge des opérations, au sein d’une Direction collégiale, vous êtes
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, with the longer-term objective of improving the prediction of fast-charging behaviour. Your project will be to build or adapt a machine-learning interatomic potential for lithiated graphite using density
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informes técnicos. _______________________ Demonstrable proficiency in Python programming, ontologies, machine learning, and artificial intelligence. The candidate’s public software repositories must be
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machine learning, explicabilidad de modelos y despliegue de sistemas de monitorización (rendimiento, desviaciones y alertas. Grado en Ingeniería de la Ciberseguridad Additional Information Selection process
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techniques along with machine learning–enhanced strategies for simulating coupled interactions in complex living systems. Project details: 1)“NEw generation MEthods for numerical SImulationS – NEMESIS”, Grant
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microscopy and SEM, with computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties
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técnicas de machine learning e IA. Sólidos conocimientos en análisis y tratamiento de datos, programación y desarrollo de modelos analíticos. Experiencia con bases de datos y herramientas de análisis
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neuroscience, neuroimaging, machine learning and neurofeedback, providing an interdisciplinary research environment for candidates interested in the neural basis of emotion and consciousness. Job description: We
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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications - Inteligencia Artificial y Aprendizaje Automático: Conocimientos en modelos de IA, Machine Learning y Deep Learning. Se valorarán muy