• The candidate is expected to conduct a thorough literature survey on asthma risk prediction models and the different machine learning techniques used in predicting asthma. • The candidate will have to work on the design and implementation of frameworks of asthma analytics and prediction system. • The candidate is expected to develop new methods and algorithms for asthma risk prediction models. • The candidate is also required to conduct extensive experiments on the accuracy and performance of prediction models using real datasets and analyze the results. • The candidate is expected to work on writing and submitting conference or/and journal papers. • The candidate should have strong interest in collaborating with other researchers and working in teams.

1. Must hold a masters degree in computer science or a related field 2. Must have recently published articles related to the job description as a main author 3. Has experience with Java, C++, python programming languages 4. Has experience with AI algorithms in medical fields 5. Be familiar with one or more database management systems, Oracle, MySQL, Microsoft DB, etc.

Experience with XHTML, JAVASCRIPT, CSS, PHP, JSP, DATABASE SQL, MATLAB, LATEX, PYTHON, R

8000-10000

31/01/2024