Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Delft University of Technology (TU Delft)
- Nature Careers
- Carnegie Mellon University
- University of Oslo
- University of Sheffield
- CNRS
- University of Lund
- Cranfield University
- Harvard University
- IMT Atlantique
- Linköping University
- Technical University of Munich
- University of Antwerp
- University of Glasgow
- Aalborg University
- ERATOSTHENES CENTRE OF EXCELLENCE
- ETH Zurich
- ETH Zürich
- Ecole Centrale de Lyon
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Florida Atlantic University
- Forschungszentrum Jülich
- Heriot Watt University
- INRIA
- Inria, the French national research institute for the digital sciences
- Institute for bioengineering of Catalonia, IBEC
- Instituto Politécnico de Viana do Castelo
- KU LEUVEN
- Lunds universitet
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- NIST
- NTNU Norwegian University of Science and Technology
- Northeastern University
- Sorbonne Université, CNRS, Inserm
- Sveriges Lantbruksuniversitet
- The Ohio State University
- Umeå University
- Umeå universitet stipendiemodul
- Universidade da Madeira
- Universitat Politècnica de València
- University College Dublin
- University of Basel
- University of Beira Interior
- University of California Davis
- University of Exeter
- University of Malta
- University of Nevada, Reno
- University of North Carolina at Chapel Hill
- University of Twente
- Université Toulouse Capitole
- Université d'Orléans
- 44 more »
- « less
-
Field
-
in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
-
, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted to complex 3D underground geometries. The research will be conducted in close
-
systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow's technology in-house for a sustainable and secure society. When will
-
. Expected contributions of the Thesis The objectives of the PhD are as follows: To propose a model for representing multimodal data streams, integrating different categories of data (video, metadata, sensors
-
on but is not limited to the following areas: (1) security analysis on the existing lightweight cryptography algorithms, (2) performance measurements for different algorithms on different platforms with
-
Description Are you curious how Deep Learning and Online Learning can be effectively combined to create new learning paradigms? Job description Online learning algorithms achieve robustness often at the expense
-
with the user. In addition, the simulator can fail to simulate sensors/effectors of the robot and therefore differ from reality. Principle: Embedded AI For applications in interactive robotics
-
applications of various sensors and actuators; solid mathematical foundation; priority will be given to those with experience in developing industrial-grade control algorithms, signal processing algorithms
-
devices—such as wearable sensors, assistive robotics, or implantable systems—where real-time performance, energy efficiency, and reliability are critical. Unlike traditional NAS approaches that are hardware
-
. In this position, your primary task will be to lead the development of algorithms, software, and hardware to extend the current HAUCS framework. This includes developing the sensors, sensing robotic