Big data, Data Science and Artificial Intelligence from a biomedical or biotechnological perspective.
Automation of workflows involving large amounts of data and programs for their analysis (capture, conversion, advanced processing, export, etc.).
Development of Machine Learning models for prediction, clustering and classification problem solving (training, validation and implementation in final applications).
Acquisition and integration of information from multiple data sources using advanced web scraping techniques.
Development of applications that make use of trained models to carry out tasks related to text mining and/or data mining.
Text and/or image analysis using deep learning algorithms.
