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modelling frameworks that capture power and thermal interactions across multiple levels of abstraction, from devices and circuits to complete computing systems. You will study how architectural decisions
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automated coding) and qualitative approaches (e.g., focus group interviews) to explore adolescents’ real-time interactions with gender narratives in their digital world. The project will be conducted
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, remanufacturing, and recycling workflows.At the same time, Augmented and Virtual Reality (AR/VR) technologies have demonstrated strong potential to support complex manual operations by providing interactive, in
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on the H1 standard is available at: https://students.unimelb.edu.au/course-admin/results . You have a strong interest in coastal and offshore engineering, renewable energy systems, and the interaction between
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for using AI to develop social engineering attempts. This project combines human subject research of learning and decision making, Human-Computer Interaction, and the advancement in AI methods
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data collection and analysis, including neuroimaging or behavioral data•Languages: Dutch is strongly preferred, as the project involves extensive interaction with Dutch-speaking participants; English
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close interaction with academic and industrial stakeholders. The ideal candidate: holds a Master's degree in Engineering Technology, Bioscience Engineering, or a related discipline. has a strong interest
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developments in machine learning, the project investigates how runners’ shared social identity can influence their movement synchrony, physical load, and interaction with the running infrastructures. Using
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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions
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Chlamydomonas reinhardtii. The project will investigate how genome dynamics and environmental conditions interact to shape the evolutionary success of polyploids using: Experimental evolution approaches