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Field
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centers on developing a framework for controlling a robotic arm equipped with a cardiac ultrasound probe and complementary sensors. The goal is to enable autonomous placement of the probe on predefined
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with sparse aerial and dense terrestrial sensors for enhanced 3D spectrum use prediction. DC3: RF-sensing for ambient IoT devices and coexistence with legacy devices Host: IMDEA Networks Institute
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the University of Sheffield and with industry partners, you will develop and optimise the modelling techniques. This includes the development of Physics Informed Neural Networks and combine this with real-time
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are looking for talented people to join us. Your responsibilities include: MI Project IE2501 “Safe Hydrogen Networks: ML-Supported Safety Analysis and Optimized Sensor Placement” Research in the field of safety
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, durability, and environmental sustainability, while addressing cost constraints and net zero objectives. It will include an in-depth review of shortcomings in current design, based on literature review and
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Research Project Nucleic acids are potent triggers of immune responses. The presence of virus-derived RNA or DNA molecules activates nucleic acid sensors inside the host cell, which stimulates protective
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in field campaigns in Kenya, as well as dissemination and teaching activities. This PhD position is fully funded for 4 years. About the Wildbotics project: Wildbotics is a Marie-Curie Doctoral Network
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encompass a range of microhabitats and environmental gradients characteristic of maritime Antarctica. High-resolution UAV imagery acquired with multispectral, thermal, and hyperspectral sensors will be
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strategy, the processing of sensor data (laserscans, images, pressure, etc.), as well as the reactive control of robotic arms. In order to apply for this position, the candidate should possess in-depth
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to demonstrate real-world feasibility. The overarching goal is to bridge high-level algorithmic innovation with energy-aware hardware deployment, enabling intelligent sensor systems that act as autonomous micro