Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Portugal
- Netherlands
- Germany
- Spain
- France
- Sweden
- Denmark
- Singapore
- Italy
- Norway
- Belgium
- Poland
- Finland
- Australia
- Morocco
- Romania
- United Arab Emirates
- Austria
- Ireland
- Japan
- Hong Kong
- Switzerland
- Canada
- Czech
- Cyprus
- Saudi Arabia
- Vietnam
- Brazil
- Bulgaria
- China
- Croatia
- Israel
- Lithuania
- Luxembourg
- Mexico
- Slovakia
- Slovenia
- South Africa
- Taiwan
- Ukraine
- 32 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Science
- Mathematics
- Materials Science
- Chemistry
- Earth Sciences
- Electrical Engineering
- Environment
- Humanities
- Business
- Education
- Linguistics
- Arts and Literature
- Physics
- Psychology
- Social Sciences
- Sports and Recreation
- Design
- Law
- Philosophy
- 14 more »
- « less
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description AI-enabled polymer monitoring via multi-sensor intelligent non
-
the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging sensors, such as the
-
Applying digital twin technology to ITS applications such as traffic management, vehicle routing, and infrastructure monitoring, as well as connected autonomous vehicles Integrating multi-modal sensor data
-
to support real-time response to Emergency Events such as Wildfires. Platforms include Satellite, Aircraft, Drones, Mobile Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning
-
-Electronic Materials and Sensors (COMAS) You will work across research management, engagement, and communications, the Coordinator will strengthen COMAS’s national and international impact. The position plays
-
-quality validation module based on optical detection and light-profile analysis. The candidate will define quality metrics, implement monitoring systems using cameras and sensors, and develop computer
-
Introduction to the vacant position: The Signal and Information Processing for Sensing Systems Group is looking for a data scientist to develop full signal and data processing workflows for chemical sensor and
-
learning models for robust crop row detection. Implement post-processing techniques on segmentation masks to enhance lane-finding accuracy. Develop and implement sensor fusion and SLAM (Simultaneous
-
of quantum (bio)sensors, the control of reactivity (quantum dynamics in attochemistry, time-resolved electron spectroscopy, real-time dynamics of (bio)chemical reactions, selective catalysis, etc
-
to: Development and utilization of rapid, inexpensive, and/or in situ sensors for real-time detection of chemical hazards e.g., allergens, heavy metals, or mycotoxins during manufacturing and throughout the food