401 software-engineering-model-driven-engineering-phd-position positions at Monash University
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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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research-focused positions for early to mid-career researchers to pursue ambitious research programs. This position is modelled on the ethos and support offered by EMBL within its European network
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Recent advancements in foundation models have significantly improved AI systems' capabilities in autonomous tool usage and complex reasoning. However, their potential for location-based and map
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work with pioneering bedside monitoring tools, such as ICM+ software, and support the delivery of major multi-centre clinical studies, including BONANZA-GT and PRECISION-TBI. Working closely with
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modelling to the various limitations of representing complex systems while informing decision making, generates many interesting theoretical and practical questions. This PhD research focuses on decision
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findings at major conferences and workshops Contribute to the supervision and mentoring of PhD and Honours students About you You will hold a PhD in physics, materials science, engineering or a related
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. This is a unique opportunity to work with pioneering bedside monitoring tools, such as ICM+ software, and support the delivery of major multi-centre clinical studies, including BONANZA-GT and PRECISION-TBI
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for early to mid-career researchers to pursue ambitious research programs. This position is modelled on the ethos and support offered by EMBL within its European network of research laboratories. It also aims
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methods for reasoning over multi-agent interactions. This Research Assistant position will contribute to research exploring how temporal knowledge representation, abductive and probabilistic reasoning and
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reliability. What it cannot yet do reliably is estimating how many animals of a given species are present at a certain location and time. This interdisciplinary PhD aims to close that gap by combining recent