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mangroves peatlands, and streams, as nature based solutions. The lab integrates field-based experiments, high-frequency sensor networks, stable isotope approaches, and modelling to study water, carbon
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(TASC) program of the ARC Industrial Transformation Research Hub for Intelligent Contaminant-Sensing in Complex Environments (IC-SensE). The TASCprogram explores consumer and workforce adoption of sensor
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process design, industrial instrumentation, and automation concepts (PLC, SCADA, sensor networks). Data Lifecycle Mastery: Proven experience manipulating heterogeneous industrial datasets, performing data
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systems (e.g., Arduino, ESP32, or similar platforms) Experience developing or adapting custom instrumentation and sensor systems for field research applications. Experience integrating physiological
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needs. Our network situational awareness security tools are published here: https://tools.netsa.cert.org/ Position Summary: As a senior network security researcher on the Network Situational Awareness
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needs. Our network situational awareness security tools are published here: https://tools.netsa.cert.org/ Position Summary: As a network security researcher on the Network Situational Awareness team, you
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your academic career? Your interests lie in the field of machine learning techniques, particularly artificial neural networks, and deep learning? And you would like to continue your research
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technologies and instrumentation concepts for future particle physics experiments. Research areas may include new and emerging quantum sensors based on nitrogen-vacancy centers, development of novel readout
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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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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
. Leglaive, L. Girin, X. Alameda-Pineda, and R. Séguier, "A multimodal dynamical variational autoencoder for audiovisual speech representation learning," Neural Networks, 2024. 10. A. Ballou, X. Alameda-Pineda