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IC2020_07_Phd Fellowship in Supervised Learning for COVID-19 prognosis_AXA

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IC2020_07_Phd Fellowship in Supervised Learning for COVID-19 prognosis_AXA:

Supervised learning for COVID-19 prognosis. The PhD Student will work on the research project “Early prognosis of COVID-19 infections via machine learning” funded by AXA Research Fund.

Requirements:    
•    Promising young researchers.
•    Applicants should have their MSc. completed before 31/10/2020. MSc. degree is required from mathematics, computer science or related area.

Skills and track-record:     
•    Ability to effectively communicate and present research ideas.
•    Previous experience in research projects is highly desirable.
•    High level of spoken and written English.
•    Good communication and interpersonal skills.

Scientific Profile:
The researcher will develop techniques for supervised classification based on minimax approaches and apply such techniques to predict the future severity of COVID-19 infections using medical health records. Candidates are expected to have strong mathematical background with experience on software languages for numerical computing such as Matlab and Python.



AAPLY AT:http://www.bcamath.org/en/research/job/ic2020-07-phd-fellowship-in-supervised-learning-for-covid-19-prognosis-axa
DEADLINE: 18TH SEPTEMBER 2020.

Procedencia RedIRIS
País España
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