41 machine-learning-modeling-"Linnaeus-University" Fellowship positions at Monash University
Sort by
Refine Your Search
-
Research Fellow in Neurocognition & Modelling Job No.: 684026 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $83,280 - $113,025 pa Level A
-
Research Fellow in Earth System modelling Job No.: 682250 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration: $83,280 - $113,025 pa Level A
-
modelling and machine learning to join and lead a dynamic international team of early-career researchers. This exciting role is part of a cutting-edge project investigating the structural integrity
-
: 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
-
Build and test predictive models using machine learning techniques Drive methodological innovation in neurophysiological data analysis Contribute to publications, grant submissions and independent
-
of innovative computational procedures and methodologies, addressing a national skills shortage and enabling timely progress on a high-impact research initiative in modern econometric modelling. The role provides
-
modelling and data analytics, and help shape policy that improves lives. As a Research Fellow, you will: Conduct applied research in health economics, particularly focused on economic evaluation, cost
-
on the development of a national-scale land use–transport interaction (LUTI) model. This model will be central to the project, generating critical indicators such as job accessibility and population
-
institute that has developed an innovative collaboration research model, which seeks to create knowledge and influence thinking so that people can lead healthier lives. ISCRR conducts and facilitates research
-
focused on advancing personalised and innovative approaches to addiction care. This dynamic and collaborative position works closely with a multidisciplinary team of neuroimagers, computational modellers