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to integrate large and complex molecular datasets with information at individual level, with specific attention to open and reproducible research, e.g., in the development of codes and algorithms. We will focus
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to generate original content, improve innovation processes and reshape entire creative and industrial sectors. These developments challenges traditional concepts of authorship and inventorship and raise complex
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higher education, teacher education and schools AI in neuroscience (e.g., analyses of complex and/or big data of genetics, neuroimaging, EEG, ECG, multi-omics, and cognition) Use, user experiences, and
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