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technology for decarbonized mobility. However, their safe and sustainable deployment in dense urban traffic remains challenging due to uncertain vehicle–battery dynamics, sensor or actuator faults, critical
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as quantum sensors. This approach will pave the way for a new form of quantum near-field microscopy, in which atomic probes replace the macroscopic tips employed in conventional scanning probe
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. · Quantification and Propagation of uncertainty in industrial environments (noisy sensors, sensor degradation, evolving production processes, rare events, incomplete datasets…) o quantifying epistemic and
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. • Designing and structuring multi-scale databases integrating material properties, process parameters, sensor data and simulation outputs. • Developing and validating AI-assisted digital twin models able
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the SPIN Doctoral School (ed-spin.doctorat-bretagne.fr). Vincent Lebastard at IMT-Atl Nantes will co-supervised the PhD thesis. This thesis is part of the PEPR Acc Robotique MiniRo (https://anr.fr/fileadmin
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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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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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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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integrating virtual sensors, digital twins, multi-criteria decision analysis (MCDA), and explainable AI (XAI) into one unified framework. The specific research objective of this offer is To develop climate