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: Developing and deploying machine learning models (e.g. graph neural networks, neural force fields, diffusion models) for molecular property prediction and molecular generation. Integrating quantum chemistry
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with real-world application to pressing health challenges. In this role, you will: Develop new statistical methodology to support adaptive variants of cluster randomised trials Write R or Stata code
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. This role is based at our Alfred Hospital Campus, embedded in a thriving network of public health and research excellence. Learn more: https://www.monash.edu/medicine/sphpm/divisions/health-systems
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data to better understand the structure and function of the brain—across health, disease, and species. You'll work with world-class researchers in fields including network science, biophysical modelling
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and team-based research, contributing to publications, attending conferences, developing research materials, and occasional teaching. The Research Fellow will also design experiments, develop code
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one or more of the following areas: complex quantum processes, quantum error corrections, tensor networks, optimisation and machine learning, and developing software infrastructure Some experience in