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Field
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, sensors and instrumentation. Knowledge of one or more of the following areas:Power electronics, Reliability and failure mechanisms, Sensors and instrumentation, Data analytics, machine learning, or AI
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water leaks, such as pressure/flow sensors or fiber optics, but they require sensors to be installed in advance. To complete the existing techniques, in this study, we will explore the application
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University of Tecnology in Gliwice). Nanopipette based optical sensors for tracking chemical gradients at the vicinity of catalytic nanoparticles Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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for autonomous optimization and design of materials, structures and processes Multimodal scientific AI – integrating language, images, sensor data and simulations Alignment for scientific AI – scalable oversight
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designers to trade robustness to systematic shifts against robustness to noise. The Quantera QUARCKS project (QUAntum Robust hyper-ClocKs and atomic Sensors, cofunded by EU) targets the demonstration of a new
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, etc.), (iii) Evaluation of interactions and potential conflicts between subsurface uses, (iv) Monitoring of subsurface structures (sensors, passive seismics, etc.) and surface impacts (satellite
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causal inference, integration of heterogeneous data sources, uncertainty quantification Work with a wide range of data types, for example dietary records, biomarkers, omics data, registry data, and sensor
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
rely on the integration of multiple heterogeneous models and data sources, such as sensor observations, simulation models, geographic information systems, and domain knowledge bases. Ontology alignment
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-resistive sensors especially suited to 2D materials whose orbital currents depend on the carrier density (tuned by controlling an electrostatic gate). With this method we have recently observed the anomalous
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The project is about developing and applying TENG-based self-powered sensors or TENG-based energy harvesting methods for tribological applications. A sensor that produces its own power has a large role to play