23 machine-learning "University of Zurich" scholarships at Monash University

PhD Scholarship in Data-Driven Polymer Synthesis

largely uses traditionally approaches when it comes to laboratory work and synthesis of materials, also here the advent of automation, robotics and machine learning is bringing tremendous change

PhD scholarship in CSIRO Next Generation Graduate Program (AI in Mental Health)

strong background in artificial intelligence, machine learning, and data analysis. Additionally, experience in healthcare informatics, user experience research, and a commitment to improving mental health

PhD Scholarship in Multimodal Biomedical Imaging

, computer science, computer vision, or a related domain (a background in medical imaging is advantageous) Proficiency in Python programming or familiarity with deep learning frameworks like PyTorch

Leveraging Artificial Intelligence for Deorphanisation of G protein-coupled Receptors: Predictive Models and Ligand Design (scholarship provided)

The objective of this project is to use machine learning techniques to help with the drug discovery by modelling structural and sequential data. This project is supported by a supervision team with

PhD Scholarship opportunities in Transforming Initial Teacher Education for Social Impact

participatory action research to investigate how a selected group of preservice teachers and young people from culturally diverse backgrounds can learn from each other to strengthen how cultural knowledge can

Predicting short- and long-term outcomes of pregnancy to optimise maternal health care (PhD)

challenging for clinicians and pregnant women. Digital health records, advances in big data, machine learning and artificial intelligence methodologies, and novel data visualisation capabilities have opened up

PhD Scholarship in Assistive Technology and Disability

Technology: The co-design and evaluation of new assistive technologies that address the real-world needs of people with disability. These might, for instance, utilise conversational agents, computer vision

PhD position: Dr Yuki Fujii

testing advanced particle detectors and electronics,                  learning the modern data analysis with either simulation or real data in COMET to search for the muon rare process

PhD position: Dr Haoran Ren

world, and with world-class photonic facilities at Monash. "Quantum nanophotonic chip" "Multimode imaging through ultrathin meta-optics" "Advancing optical imaging with flat optics" "Machine-learning

PhD position: A/Prof Scott Findlay

they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with