Learning Data-driven Transportation Models for Assessing the Effects of New Infrastructures and Rare Events
Learning Data-driven Transportation Models for Assessing the Effects of New Infrastructures and Rare Events
Learning Data-driven Transportation Models for Assessing the Effects of New Infrastructures and Rare Events Description The research project aims to develop new data-driven models for transportation simulation based on machine … Read More Read More
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Understanding primary chemotherapy resistance in childhood acute myeloid leukaemia (AML)
Understanding primary chemotherapy resistance in childhood acute myeloid leukaemia (AML)
Leukamias are the most common childhood cancer and acute myeloid leukaemia (AML) remains a challenging disease. Indeed, 15% of pediatric AML patients suffer failure of induction chemotherapy–in other words, their … Read More Read More
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PhD Position Market Adoption of Consumer Flexibility in the Energy Transition
PhD Position Market Adoption of Consumer Flexibility in the Energy Transition
Do you want to contribute to the energy transition, engage with renewable energy experts, and develop model-based policy recommendations? Join us to explore how decentral flexibility will shape Europe’s energy … Read More Read More
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Vibration data and underlying physics for adaptive structural health monitoring
Vibration data and underlying physics for adaptive structural health monitoring
About the Project In the context of long-term monitoring applications, there are numerous structural states that exhibit similar behavior but cannot be generalized with a single model (whether data- or … Read More Read More
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Understanding the ecology and coevolution of aphids and parasitoids to improve natural biocontrol measures in field crops
Understanding the ecology and coevolution of aphids and parasitoids to improve natural biocontrol measures in field crops
Parasitoids are insects that play a fundamental ecological role in both natural and agricultural ecosystems by regulating the population of herbivore pests, such as aphids. Despite much work on the … Read More Read More
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Measuring The Birrarung: Data Fusion and Optimisation
Measuring The Birrarung: Data Fusion and Optimisation
About the Project A PhD is available with our industry partner Regen Melbourne. Titled Measuring The Birrarung: Data Fusion and Optimisation, this will be led by OPTIMA CI Peter Stuckey … Read More Read More
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Cybersecurity Threat Analysis and Cyber-Attack Attribution with AI-Driven Solutions
Cybersecurity Threat Analysis and Cyber-Attack Attribution with AI-Driven Solutions
About the Project This PhD project automates cyber-attack attribution using AI and NLP, enhancing defence strategies against evolving cyber threats. Objectives include dynamic attacker identification, a threat intelligence dashboard, and … Read More Read More
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Doctoral student in Adaptive Separation in Dynamic Nanofibril Networks
Doctoral student in Adaptive Separation in Dynamic Nanofibril Networks
Project description Third-cycle subject: Fibre and Polymer Science We invite applications for a fully funded PhD position within the ERC project DynanoNet, which aims to develop materials, methods, and technologies … Read More Read More
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PhD Position - Uncertainty Analysis of Coupled Reactive Transport Models
PhD Position - Uncertainty Analysis of Coupled Reactive Transport Models
PhD Position - Uncertainty Analysis of Coupled Reactive Transport Models Position PhD Position - Uncertainty Analysis of Coupled Reactive Transport Models Employer GFZ Helmholtz Centre for Geosciences GFZ is Germany’s … Read More Read More
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AI-driven Radio Frequency Semiconductor On-wafer Measurement System for Future Industrial Applications
AI-driven Radio Frequency Semiconductor On-wafer Measurement System for Future Industrial Applications
This exciting PhD project aims to revolutionize the characterization of RF semiconductor devices by integrating cutting-edge AI-driven measurement techniques. With the ever-growing demand for precise and reliable on-wafer measurement systems, … Read More Read More
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