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for skin impedance measurements. 2. Selection of optical sensors to correlate optical measurements with impedance measurements. 3. Evaluation of impedance sensor performance through skin simulator testing
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information. The candidate will be responsible for developing detailed simulation models of both robots, sensors, and components to be assembled. In addition, the candidate should develop robust manipulation
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& Experimentation · Assist with the setup, calibration, and operation of biomechanical lab equipment, including motion capture systems, force platforms, EMG sensors, and other relevant tools. · Recruit, screen, and
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 21 days ago
work plan will focus on R&D of energy harvesting systems that exploit different energy sources from the human body to supply cardiac electronic devices or sensors for enabling the Internet of Medical
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or no supervisory responsibilities Other duties as assigned Unit URL https://www.uidaho.edu/agricultural-life-sciences/academics/animal-veterinary-food-sciences Position Qualifications Required Experience Following
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Resource Efficient Pseudo Random Number Generator based on Sawtooth Maps for Internet of Things. Wiley Online: https://doi.org/10.1002/spy2.304 Abu Tair, M., Djahel, S., Perry, P., Scotney, B.W., Zia, U
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technologies to push the frontier of plasma performance. Engineering radiation-hardened robotics and sensor systems for remote maintenance and reliable fusion operations. Artificial Intelligence Developing
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with CamDragon Co. Ltd, a Cambridge-based SME offering engineering consultancy and STEM education
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Title: Associate or Senior Editor, Nature Sensors Location: Shanghai, Beijing, New York - hybrid model Closing date: 31st October, 2025 About Springer Nature Springer Nature is one of the leading
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for Precision Health Initiative (DAPHI) at UTSW, a major institutional effort that provides access to state-of-the-art computational resources, rich multi-modal datasets (clinical, imaging, omics, sensors), and a