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Field
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with a strong academic background in Machine learning, Natural Language Processing, and/or Software Development. Applicants with an experience in one or more of the above academic fields are encouraged
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processing. Specific Requirements Knowledge: Computational biology and neuroimaging. Data integration. Advanced data management methods. Advanced data analysis methods. Machine Learning. Professional
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to the topic, including food safety, microbiology, computational biology, machine learning, artificial intelligence, data science, or other related scientific fields. Familiarity with data-driven
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specialised libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Knowledge of machine and deep learning methods and techniques, including training, adjustment and development of language models and LLMs
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expertise in data science, machine/deep learning, biomedical informatics, trustworthy AI, and health-related applications. The research group has an established track record in coordination and participation
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disease” and “Artificial vision and machine learning techniques for analysing temporal shape changes”. Reference: I-PI 10-26 Pursuant to the provisions on the regulations governing calls for applications
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ensure quality. Where to apply Website https://seuelectronica.upc.edu/ca/tramits-en-elaboracio/Convocatoria_contractac… Requirements Research FieldEngineering » Computer engineeringEducation LevelBachelor
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FieldTechnology » OtherEducation LevelMaster Degree or equivalent Skills/Qualifications Sólida formación en Machine Learning and Deep Learning / Strong background in Machine Learning and Deep Learning Experiencia
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been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning or planning. Experience with ROS2
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expertise in machine learning or computational modelling who are eager to advance conceptual innovation toward practical industrial deployment. Qualifications PhD in Computer Science, Machine Learning