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analysis, and data visualization. Apply advanced statistical, machine learning and AI methods when appropriate. Review analysis outputs and ensure methodological consistency and quality. Collaborate with
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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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gliomas. The project integrates generative AI, interpretable models, uncertainty estimation, and federated learning to improve clinical decision-making, data privacy, and personalized medicine
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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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-computational loop, using analysis results to guide the design of the next round of automated experiments (design of experiments, active learning). Ensure reproducibility and FAIR data practices: version
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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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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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-doctoral researcher in the area of gravitational wave physics to join and extend our work in gravitational wave data analysis and our contribution to the LIGO Scientific Collaboration and Einstein Telescope
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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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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