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Field
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of different chemical and biological wearable/implantable/point-of-care sensors using these materials for the high precision detection of biomarkers and physiological parameters, such as proteins, DNA, antigen
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models that merge machine learning techniques with mechanistic frameworks (like physics-informed neural networks and grey-box modeling) to enable predictive simulations of chemical and biochemical
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platforms and workflows for network partners, and establish metadata standards and documentation requirements. Build systems for real-time sensor data collection and quality control, create automated data
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the underground infrastructure theme within the Quantum Technology Research Hub in Sensors, Imaging and Timing (www.quisit.org ). The successful candidate will focus on designing and conducting large scale
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, or sensor development, looking to apply your background to next generation power electronic conversion and related measurement in pursuit of Carbon Net Zero? We are seeking motivated interdisciplinary
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pushing promising technologies from low TRL to high TRL. To this end, the research group develops its activities along two research lines concerning magnetic field sensors and spin dynamics. This position
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-level and wave sensors) and support ship and small-boat operations in Long Island Sound and adjacent waters. The role combines hands-on deck work, basic electronics and mechanical troubleshooting
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writing manuscripts with data from the multi-year On Thin Ice project. This year-round field-based project combines data across 93 international networked lakes, 23 gradient lakes, and 6 model lakes with
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sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits
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environmental monitoring data and access to Fjordlab marine research infrastructure at NTNU Ålesund, enabling validation of models using real-world observations and sensor networks. The postdoctoral fellowship