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will also be provided. Overview This project will develop an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT
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an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT) sensor data. This will be a small system-on-chip designed
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analyte detection. Your key responsibilities will involve day-to-day running of the project, including the design of bio-instrumentation hardware, fabrication of the eLFA, and development of the software
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of their parts. Replacing conventional radar oscillators with their Quantum alternatives is possible and can drastically increase the hardware sensitivity of distributed radar systems. They introduce new
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PhD Opportunity – Advanced Microwave Sensor Design for Detection Technologies The School of Electrical and Mechanical Engineering at the University of Adelaide is seeking a highly motivated PhD
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interdisciplinary expertise: biosciences to characterise the physiological responses of mussels under controlled exposures, and engineering to design hardware, firmware, and analytical pipelines that can run
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University of São Paulo, Brazil. This position focuses on developing advanced computer vision methods and hardware setup for detecting and predicting plant diseases in soybean cultivation. About Us The Chair
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on sensors [1, 3], interference with wired communication such as electric vehicle charging [2], and protocol-aware jamming of satellite communications [4]. The growing accessibility of low-cost hardware and
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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, as a doctoral researcher, will: Explore energy–delay efficient unconventional computing architectures through both simulation and experimental prototyping Perform iterative hardware–algorithm co-design