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Field
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the PhD, you will gain expertise in finite element modelling, electronic control and instrumentation, machine learning, experimental methods, and advanced signal processing. You will also build strong
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 4 days ago
devices will be able to perform computation and communication with energy harvested from the environment and from ambient wireless signals. The PhD student will be part of the design and electronic
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, Mathematics, Physics, Neuroscience, Psychology, Medicine, or a closely related field. Previous experience with MRI and/or high-density fNIRS/DOT techniques. Strong understanding of signal processing and data
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on more than bone growth; it depends on a complex dialogue between immune and skeletal cells. When this communication falters, healing slows or fails. This PhD will explore how mechanical and topographical cues
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, hands on skills in implementation of fusion/learning based techniques in the areas of robotics, or autonomous systems, interested in autonomous systems and signal processing, Keen to work with equipment
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to reinforced concrete slabs, each with unique stiffness, damping, and boundary conditions. These structural differences fundamentally shape how vibration signals are transmitted and recorded. This project will
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management (e.g., hospitalisation, medications, laboratory testing, and monitoring), point-of-care monitoring has the potential to significantly reduce inpatient time, alleviate pressure on the NHS, and lead
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at the intersection of neural engineering, computational neuroscience, biomedical signal processing, and embedded systems design. The project aims to develop a novel electrical nerve-stimulation
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PhD Studentship in Chemical Engineering - Electrochemical biosensors for point-of-care monitoring of life-threatening cell breakdown in blood cancers Award Summary 100% fees covered, and a minimum
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Engineering, Computer Science Desirable skills/interests: Signal processing, wireless communications, hands-on experience with hardwares Objectives: Low-power RF front-end design to monitor mm-wave spectrum