Sort by
Refine Your Search
-
Category
-
Employer
- Institute for bioengineering of Catalonia, IBEC
- University of A Coruña
- ARQUIMEA RESEARCH CENTER
- Consejo Superior de Investigaciones Cientificas
- Huazhong Agricultural University (HZAU)
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
- UNIVERSIDAD POLITECNICA DE MADRID
- Universidad Carlos III de Madrid
- Universidad Politecnica de Cartagena
-
Field
-
corrosion detection in metallic structures. The position focuses on the development, training and validation of artificial intelligence algorithms for multispectral image processing, with the objective
-
Description The Universidad Carlos III de Madrid invites applications for a full-time technical research support position within the project DISCO6G-CM – Development and Integration of Sensors and
-
mHealth systems integrating smartphones and wireless sensors with signal processing algorithms and artificial intelligence (AI) models for unobtrusive sleep apnea detection, multi-night monitoring
-
, preprocesamiento y procesado avanzado de datos de observación de la Tierra multifuente, incluyendo imágenes Sentinel‑1 y Sentinel‑2, nubes de puntos LiDAR y otros sensores (hiperespectrales, UAV, etc.).Ingestion
-
, denoising and super-resolution. Develop target detection, motion analysis and tracking algorithms for challenging operational scenarios. Investigate and implement multi-sensor fusion strategies across
-
the position are: Integration of multimodal sensors (e.g., physiological, kinematic and behavioural signals) into a driving simulator for patient assessment. Development of algorithms for the analysis
-
TO BE CARRIED OUT: Design of semantic models for quality assessment • Training models using colorimetric data from agricultural products • Installation of thermal and visible-light sensors • Programming
-
to the logistics digital twin. Develop AI algorithms for anomaly detection, delay prediction and internal logistics optimization. Integrate IoT sensors at key points of the logistics and production processes
-
to the logistics digital twin. Develop AI algorithms for anomaly detection, delay prediction and internal logistics optimization. Integrate IoT sensors at key points of the logistics and production processes
-
. Main tasks and responsibilities: Development and validation of machine learning algorithms for health-related experimental data. Improvement of data analysis workflows for metabolomics, chemical sensing