FISEVI
Academic
Experts in:
Modeling and simulation
- Mechanical or structural.
- Manufacturing processes: injection, stamping, forging, additive manufacturing, etc.
Statistics and Big Data
- Statistical advice and data analysis.
- Design of experiments, clinical trials.
- Biostatistics, epidemiology.
- Applications in the field of health.
Artificial intelligence
- Automatic learning.
- Neural networks.
- Deep learning.
- Machine learning.
- Specific methods for natural language processing in clinical texts aimed at the detection and normalisation of named entities.
Computing
- Programming in scientific languages: Fortran, C, C++, Python, Matlab, R.
- Development of graphical interfaces; implementation of commercial and free software packages.
- Data modelling / Databases.
- Use of free software packages.
- WEB applications / technologies.
Areas of experience:
Challenge 1: Health
- Visualisation, processing and analysis of medical images. Characterisation of false positives. Learning models using large databases (machine/deep learning).
- Evolution of demographic rates. Population projections and generation of scenario trees over a time horizon.
- Characterisation of population habits. Simulation of the flow of users by services.
