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, architecture simulation and prototyping for future computer systems and their applications, to reach multiple orders of magnitude better performance, energy-efficiency, and total-cost-of-ownership. We
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to the development of digital twins of sloshing tanks and explore collective learning approaches where multiple systems share knowledge. The PhD will be carried out in joint collaboration between the Université Libre
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contribute to the development of digital twins of propellers and explore collective learning approaches, where multiple propellers cooperate for optimal flight control. The PhD will be carried out in joint
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research in the current age lies in joining forces from multiple disciplines to focus on understanding causal and mechanistic links between the microbiome and chronic diseases alongside generalisable
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Proficiency of C / Python / MATLAB for design/simulation/debugging environments Team-oriented and proactive, with hands-on problem-solving skills Fluency in English is non-negotiable Desirable: Experience in
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realistic impairments in terms of hardware, propagation environment, and sensing imperfections. AirComp is a novel technique that harnesses the interference in wireless multiple access channels
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highly collaborative spirit and willingness to work in collaboration with several different teams and entrepreneurs. You will also be expected to work independently whilst collaborating with multiple
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techniques with new ground-based and airborne sensor platforms, for shallow subsurface surveys. Emphasis is on deploying field setups that integrate multiple sensors, with specific focus on drone-based
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structure of trees and forests. You will work across multiple ecosystems, including the Amazon rainforest (AmazonFACE experiment in Brazil), the wet tropics of Australia (Queensland Permanent Rainforest Plots