import gradio as gr

gr.Markdown("""

1. AI Clinical Solutions Architect
   - Designing AI-powered clinical systems
   - Integrating AI into healthcare workflows
   - Collaborating with healthcare professionals

2. Medical Data Scientist
   - Analyzing healthcare data for insights
   - Developing predictive models for patient outcomes
   - Implementing machine learning in healthcare

3. AI-Assisted Diagnostic Engineer
   - Developing AI algorithms for diagnostic purposes
   - Evaluating the performance of AI diagnostic tools
   - Collaborating with clinicians to refine AI diagnostics

4. Healthcare Robotics Specialist
   - Designing and developing medical robotics
   - Programming robotic systems for healthcare applications
   - Ensuring the safety and efficacy of medical robots

5. AI-Powered Telemedicine Coordinator
   - Implementing AI-driven telemedicine solutions
   - Monitoring and optimizing telemedicine platforms
   - Training healthcare staff in the use of AI telemedicine tools

6. Biomedical Machine Learning Engineer
   - Developing machine learning models for biomedical applications
   - Collaborating with researchers and clinicians
   - Ensuring the accuracy and reliability of AI models

7. AI Ethics and Compliance Officer
   - Ensuring AI systems adhere to ethical guidelines
   - Monitoring AI implementation for compliance
   - Developing policies for AI use in healthcare

8. AI-Enhanced Patient Experience Manager
   - Utilizing AI to improve patient experiences
   - Overseeing patient-facing AI technologies
   - Collaborating with healthcare staff to optimize patient interactions

9. AI Health Informatics Analyst
   - Analyzing health data using AI tools
   - Identifying trends and patterns in health data
   - Providing insights to improve healthcare delivery

10. AI-Driven Mental Health Therapist
    - Incorporating AI into mental health treatments
    - Evaluating AI-driven mental health tools
    - Collaborating with AI developers to enhance therapy methods
                
""")