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Application dates Applications close1 October 2026 What you'll receive You'll receive a stipend of $40,000 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration includes an extension of up to six months if approved for your candidature. This is the full-time,...
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behaviour. Key techniques will include behavioural paradigms in combination with electrophysiology and targeted manipulation of specific pathways. We encourage students interested in how neural circuits
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collaborative robotics at UTTOP, Univ. of Toulouse, France. Bellow the information about the PhD and the application (deadline March 30th ) Title:Online mobile human–robot co-manipulation using multi-view
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: The research group is part of the Physical Acoustics Department at the Institut de Mécanique et d'Ingénierie (I2M) in Bordeaux. Context: Acoustic radiation pressure enables contactless manipulation
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, various scenes and environments, or a real environment captured by 360° cameras and create an interaction with this environment, such as e.g. movement in space, manipulation of objects, creation of defined
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for modeling, analyzing, monitoring, robotic actuation, and control of the fluid flow in plug valve for liquid metal. Research topics Control of an existing robotic manipulator for actuation of the plug valve
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in manipulating materials for improving the performance of electrochemistry. Evidence of experience in manipulating materials for flexible or wearable energy application. Emerging track record and
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for better understanding of trait-specific neuropathology and to propose novel therapeutical targets. We will combine brain region- and cell-specific genetic manipulation followed by behavioral and functional
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explore how geometry, wettability, and fluid properties can be harnessed to achieve passive and energy-efficient liquid manipulation. The candidate will combine experiments and theoretical analysis
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applications such as aerosol delivery, spray dynamics, and particulate manipulation in confined devices. This project will target scientific machine learning strategies such as through autoencoders and neural