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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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intelligence, data science, medical physics, neuroimaging, bioengineering, or related disciplines, accompanied by accredited training in machine learning, deep learning, or medical image analysis. Experience: A
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normothermic perfusion machines. The main functions to be developed are: Collaboration in the cannulation of porcine organs from slaughterhouses, under the supervision of the Project Manager or the Unit Manager
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Computational Nanoscience group at ICN2 develops theory, models and large-scale simulation tools for quantum transport, spin dynamics and emergent computing in low-dimensional materials, in close contact with
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sheets and amorphous graphene nanoribbons generated by collaborating teams at University of Ankara. They will be trained in the LSQUANT methodology and in the numerical tools developed at ICN2 to simulate
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practical knowledge of statistical and programming packages is mandatory, including R, Python, and/or SQL. Extensive experience with advanced statistical techniques and algorithms, such as Machine Learning