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Field
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Entrepreneurship. The role is situated within an applied research and innovation context in education, combining program design, instructional innovation, and experimental learning methodologies. The successful
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. Responsibilities Design, deploy, and validate the federated learning infrastructure of the GLIOGEN-X project. Configure and coordinate the Fed-BioMed platform at participating centers. Ensure data security, privacy
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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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Learning clásicos y cuánticos, explicables e interpretables - Diseño y desarrollo de hackatones y otras metodologías colaborativas para promover el control de programa de inteligencia artificial - Design and
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will include the design and implementation of explorative research pathways for general problems related to machine learning and computer vision. Specific research lines can be defined in collaboration
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Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida) | Spain | about 1 month ago
well as the performance of behavioral tests to evaluate motor activity. o The design and execution of both in vivo and in vitro experiments. o The application and development of cell and molecular biology techniques. Where
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with deep learning to design van der Waals heterostructures with optimised spin-orbit torque (SOT) efficiency for ultra-low-power memory and computing. Its two pillars are AUTOMATA, an automatic material
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understanding, capabilities and innovation, while inspiring and providing broad training to the next generations of researchers. Our values are Commitment, Collaboration and Transformation. Our research lines
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scientific excellence with innovation, driving breakthroughs that address real-world challenges. Over the years, we have built strong collaborations with industry partners worldwide, contributed
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Description The post-doctoral fellow will work on research projects related to the network applying a data management plan and statistical analysis plan design, epidemiology, causal inference, semi-parametric