Research Technician in supervised classification techniques to predict evolution of COVID-19 infections
Job Offer | |
---|---|
Topics: | In the framework of the BCAM “Maths & Artificial Intelligence” strategy, a series of projects in this field will be launched in different areas of Applied Mathematics. This project is titled “Machine learning for COVID-19 predictions” and deals with the development of supervised classification techniques that use electronic health records to predict evolution of COVID-19 infections |
PI in charge: | Santiago Mazuelas |
Salary and conditions: | The gross annual salary of the Fellowship will be 18.000 – 26.000€. It will then be on your own responsibility to make your yearly income declaration at the Bizkaia Treasury Agency. There is a moving allowance for those researchers that come from a research institution outside the Basque Country from EUR 500 to EUR 1.000 gross. Free access to the Public Health System in Spain is provided to all employees. |
No Positions offered: | #1 |
Contract and offer: | 1 year |
Deadline: | July 13th 2020, 14:00 CET (UTC+1) |
How to apply: | Applications must be submitted on-line at: http://www.bcamath.org/en/research/job |
Scientific Profile Requested | |
---|---|
Requirements: |
|
Skills and track-record: |
|
Scientific Profile: | The preferred candidate will have:
|
Incorporation: September 2020 or as soon as possible thereafter.
More information: http://www.bcamath.org/documentos_public/archivos/ofertas/BCAM_research_technician_AI_PredictCOVID.pdf