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pipes in the subsurface. Innovation opportunities lie in combining physics-based knowledge with AI-assisted data analysis and data fusion techniques. By integrating multiple data sources and sensor
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using Ansys Polyflow, Ansys Fluent, Moldex3D, or similar tools Design of injection molding and extrusion systems, including tooling Inline, online, and in-situ process sensor technology; rheology and
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integrated hardware systems. Experience in integrating camera modules and sensors (I2C, SPI, UART) is advantageous, as is knowledge of microfluidic automation, including actuators like pumps, valves, and
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, Quantum Science + Quantum Information Science + Quantum Optics + Theoretical Physics , Quantum Sensing , Quantum Sensors , Quantum Simulation , Quantum Technology , Quantum Transport , Quantum transport in
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, Geography Experience in the use of environmental sensors Remote sensing expertise Experience in field data collection and/or laboratory analysis Experience in the deployment of unmanned aerial vehicles A
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summer long Install field experiments, including plot layout, planting, moisture sensor installation, and the application of treatments (e.g. fertilization, mulching, compost application, staking) Maintain
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ventilation systems, active air treatment technologies (e.g. particulate filters, UV disinfection) and sensor networks to monitor and respond to air quality in real time. However, there’s a critical need to
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-based robot for inclusive education”, “2024.15729.PEX”, “DOI: https://doi.org/10.54499/2024.15729.PEX ”, funded by the Fundação para a Ciência e a Tecnologia, I.P./MECI through national funds under
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potentially limitless energy source. PPPL is also using its expertise to advance research in the areas of microelectronics, quantum sensors and devices, and sustainability sciences. Whether it be through
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. The successful candidate will join our Advanced Sensors team and contribute to the 5-year Leverhulme Research Leadership Award project, Sensing Wastewater for Real-time Public Health. About the Role