<p><strong>What role you will play in team:</strong> You'll support faculty researchers in various data science projects, gaining valuable research experience.</p><p><strong>What you will do:</strong> You'll assist with data collection, cleaning, analysis, and interpretation, contributing to academic publications.</p><p><strong>Key responsibility:</strong><ul><li>Assist faculty researchers in data collection and cleaning.</li><li>Conduct data analysis using statistical software.</li><li>Develop and implement machine learning models.</li><li>Contribute to research publications and presentations.</li><li>Learn and apply advanced data science techniques.</li><li>Maintain accurate records and documentation.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in a relevant field (e.g., data science, statistics, computer science).</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning algorithms.</li><li>Excellent analytical and problem-solving skills.</li><li>Familiarity with statistical software packages (e.g., SPSS, SAS).</li><li>Strong academic writing skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Opportunity to gain valuable research experience.</li><li>Mentorship from experienced faculty researchers.</li><li>Exposure to cutting-edge research in data science.</li><li>Access to university resources and facilities.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves data analysis, literature review, model development, and collaboration with researchers.</p>