267 developer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IDAEA-CSIC" positions at Monash University
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for Artificial Intelligence (AI) and Machine Learning (ML) to support earlier and more personalised healthcare. Research Aim This PhD research aims to develop advanced AI and Machine Learning methods
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will develop efficient quantum compiler methods to bridge the gap between quantum algorithms and their execution on quantum processors. The project will develop innovative quantum software components and
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) to improve cardiovascular risk assessment and prediction. Research Aim This PhD research aims to develop and evaluate AI and Machine Learning approaches for early prediction, risk stratification and prognostic
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this project, the student will develop scalable artificial intelligence based methods such as deep neural networks or transformers to perform decoding in microsecond time scales while processing error
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-to-end, providing procedural advice, managing PhD milestone tracking, and supporting new candidature enquiries. Coordinating delivery of Professional Development Education events and programs, and
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This PhD research aims to develop and evaluate explainable AI and machine-learning approaches for early detection, risk stratification and prognostic prediction of colorectal cancer, with a focus on
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data provides opportunities for advanced Machine Learning (ML) approaches. Research Aim This PhD research aims to develop advanced Machine Learning methods for prediction, risk stratification, clinical
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surrounded by extraordinary ideas in protein design and innovation The Opportunity Join the Monash Synthetic Biology Platform (MSBP), a newly developed research technology Platform advancing the design and
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analyse security vulnerabilities of shared quantum computers and develop software level solutions to ensure secure and reliable sharing of quantum compute resources. The Scalable Quantum Systems Lab
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Professor Muhammad Usman at the Faculty of Information Technology. The PhD project involves developing novel quantum artificial intelligence models which are intrinsically robust against adversarial attacks