• Big data, data science and artificial intelligence from a biomedical or biotechnological perspective.
• Automatisation of work flows that involve large amounts of data and programmes for their analysis (capture, conversion, advanced treatment, exportation, etc.).
• Development of machine learning models to solve problems of prediction, grouping and classification (training, validation and implementation in final applications).
• Acquisition and integration of information gathered from different data sources using advanced web scraping techniques..
• Development of applications that make use of training models to carry out tasks related to text (text mining) or data mining..
• Analysis of text and/or images using deep learning algorithms (deep learning)