About the Role
We are seeking a highly motivated and detail-oriented AI Research Intern to join our dynamic team. The successful candidate will be responsible for supporting our data analysis efforts in the field of biostatistics. You will have the opportunity to engage in hands-on research, experiment with state-of-the-art methodologies, and collaborate with experts in the AI domain.
Requirements
Currently pursuing a Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Strong background in machine learning, deep learning, and AI research methodologies.
Proficiency in programming languages such as Python, Java, or C++.
Familiarity with popular AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch).
Excellent problem-solving skills and a creative mindset.
Strong analytical and critical-thinking abilities.
Effective communication and collaboration skills.
Responsibility
Contribute to ongoing AI research projects by conducting literature reviews and staying informed about the latest advancements in the field.
Collaborate with the research team to design and implement experiments to test hypotheses and validate models.
Assist in data collection, preprocessing, and analysis to support research initiatives.
Develop and prototype AI algorithms and models under the guidance of experienced researchers.
Stay up-to-date with emerging trends and technologies in AI, machine learning, and related disciplines.
Summarize and present research findings to the team and other stakeholders.
Collaborate with cross-functional teams to integrate research outcomes into practical applications.