62 process-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"NTNU" PhD positions at Monash University
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throughout the process of FL collaborative training; 2) Investigate and design security measures (e.g., robust aggregation rules) to defeat model poisioning attacks against FL; 3) Design and optimise
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computational project. To do this project you would need to apply for a Monash Scholarship. Required knowledge A decent theoretical background in physics, computer science, mathematics, engineering
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computational project. To do this project you would need to apply for a Monash Scholarship. Required knowledge A decent theoretical background in physics, computer science, mathematics, engineering
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
ensure local relevance. Required knowledge Artificial Intelligence; Machine Learning; Computer Vision; Bioinformatics; Biomedical Engineering; Neuroscience; Genomics; Medical Physics; Data Science
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knowledge A decent theoretical background in philosophy, physics, computer science, mathematics, engineering, neuroscience or psychology. Project funding Other Funding reference https
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knowledge A decent theoretical background in philosophy, physics, computer science, mathematics, engineering, neuroscience or psychology. Project funding Other Funding reference https
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publications, citations or scientific careers to test the implications of a model. References Fortunato, S. et al. “Science of science.” Science 359 (2018): eaao0185. https://doi.org/10.1126
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process for publications, ways to diseminate scientific findings and other mechanisms that are part of everyday scientific practice [2]. We will use a combination of game theoretical models, AI and
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process for publications, ways to diseminate scientific findings and other mechanisms that are part of everyday scientific practice [2]. We will use a combination of game theoretical models, AI and
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from an unbiased strategy space.” Journal of the Royal Society Interface 16 (2019): 20190127. https://doi.org/10.1098/rsif.2019.0127 Perera, I., de Nijs, F. and García, J. “Learning to cooperate against