- Development of artificial intelligence tools to detect short to medium-long diabetic risk events; - Study and exploit databases of diabetic patients monitoring; - Development of software, APIs and integration methods for evaluating and sampling results of the developed artificial intelligence tools; - Bibliographic research activities and progress reports.
B.Sc. graduated in biomedical, biomedical, electrotechnical engineering or similar areas
Minimum profile required
B.Sc. graduation above 13.
Experience in artificial intelligence models for health.
Since 07 Oct 2021 to 20 Oct 2021
Cluster / Centre
Computer Science / Advanced Computing Systems