RMIT full HDR/PhD scholarship in Melbourne

RMIT full HDR/PhD scholarship in Melbourne

Melbourne Full-Time 35886 - 35886 $ / year (est.) On-site
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At a Glance

  • Tasks: Enhance AI-driven clinical decision-making in healthcare using advanced methodologies.
  • Company: Royal Melbourne Institute of Technology, a leader in innovative research.
  • Benefits: $35,886 scholarship, access to cutting-edge resources, and mentorship from top supervisors.
  • Other info: Collaborate with leading experts in a dynamic research environment.
  • Why this job: Make a real impact in healthcare with your research while advancing your career.
  • Qualifications: Must meet standard RMIT PhD enrolment requirements; open to all students.

The predicted salary is between 35886 - 35886 $ per year.

Enhancing AI-driven clinical decision-making by improving accuracy, sensitivity, and reliability in healthcare through advanced AI methodologies.

Value and duration$35,886Eligibility Standard RMIT Ph D enrolment requirement.

Open to Domestic and International Students.

Further information Contact the nominated supervisors for the project listed below.

β€’ Name of supervisor: Dr Fatemeh Shiri Email

β€’ Name of supervisor: Dr Zhuang Li Email

β€’ Name of supervisor: Dr Azadeh Alavi Email

  • Royal Melbourne Institute of Technology, School of Computing Technologies
  • #J-18808-Ljbffr

RMIT full HDR/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 RMIT full HDR/PhD scholarship in Melbourne

AI Methodologies
Clinical Decision-Making
Data Analysis
Accuracy Improvement
Sensitivity Enhancement
Reliability Assessment
Research Skills