Fully Funded AI in Clinical Decision-Making PhD Scholarship in Melbourne

Fully Funded AI in Clinical Decision-Making PhD Scholarship in Melbourne

Melbourne Internship 51525 - 62975 $ / year (est.) On-site
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At a Glance

  • Tasks: Enhance AI-driven clinical decision-making in healthcare through advanced methodologies.
  • Company: Royal Melbourne Institute of Technology, a leader in innovative research.
  • Benefits: Fully funded scholarship, access to expert supervisors, and research opportunities.
  • Other info: Collaborate with leading experts and contribute to groundbreaking research.
  • Why this job: Make a real impact in healthcare with cutting-edge AI technology.
  • Qualifications: Must be enrolled in RMIT PhD program; open to all students.

The predicted salary is between 51525 - 62975 $ per year.

The Royal Melbourne Institute of Technology invites applications for a Ph D scholarship focused on Enhancing AI-driven clinical decision-making by improving accuracy, sensitivity, and reliability in healthcare through advanced AI methodologies.

Eligibility requires RMIT Ph D enrolment; open to Domestic and International Students.

Supervisors: Dr Fatemeh Shiri, Dr Zhuang Li, Dr Azadeh Alavi. Contact emails provided for inquiries.

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Fully Funded AI in Clinical Decision-Making PhD Scholarship in Melbourne employer: RMIT University

RMIT's Centre for Nature Positive Solutions offers a dynamic and inclusive work environment where you can contribute to meaningful research that supports Traditional Custodian communities and addresses critical environmental challenges. With flexible working arrangements, cultural leave, and a commitment to professional development, RMIT fosters a culture of collaboration and innovation, making it an excellent employer for those passionate about creating positive social and environmental outcomes.

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Contact Details:

RMIT University Recruitment Team

We think you need these skills to ace Fully Funded AI in Clinical Decision-Making PhD Scholarship in Melbourne

AI Methodologies
Clinical Decision-Making
Data Analysis
Research Skills
Statistical Analysis
Machine Learning
Programming Skills