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into smaller, faster, more energy efficient and cost-effective hardware compared to the current state-of-the-art. The project will align the in-house algorithm-to-hardware development of the Micro-Systems
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compared to the current state-of-the-art. The project will align the in-house algorithm-to-hardware development of the Micro-Systems Research Group at Newcastle University with next-generation Field
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] Required profile: Electrical Engineering, Telecommunications Engineering, Computer Science or equivalent disciplines Desirable skills/interests: Deep learning, tiny machine learning, TensorFlow lite micro
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wide range of markets such as automotive, industrial and aerospace. Our interdisciplinary field of "Microdisplays and Sensors" is engaged in the development and manufacturing of micro-displays and
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problems in this field and to make RTD oscillators and their arrays fit for practical THz applications. Each PhD student will be supervised by at least two professors from the relevant disciplines and
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. You will co-design and implement an experimental approach, measuring skeletal muscle physiology from micro- to macroscale obtained by a wide array of methodologies, including CPET, NIRS, MRI, 31P-MRS
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. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR imaging and spectroscopy) to evaluate performance of electrodes and to map electrolyte chemical composition in
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wide range of markets such as automotive, industrial and aerospace. Our interdisciplinary field of "Microdisplays and Sensors" is engaged in the development and manufacturing of micro-displays and