Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- CNRS
- AALTO UNIVERSITY
- Aalborg University
- NTNU - Norwegian University of Science and Technology
- Umeå University
- Eindhoven University of Technology (TU/e)
- Inria, the French national research institute for the digital sciences
- NTNU Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- University of Primorska
- Aalborg Universitet
- Blekinge Institute of Technology
- Chalmers University of Technology
- Cranfield University
- Curtin University
- Delft University of Technology
- ETH Zürich
- Fraunhofer-Gesellschaft
- GFZ Helmholtz-Zentrum für Geoforschung
- Institute of Photonic Sciences
- KU LEUVEN
- Luxembourg Institute of Science and Technology
- Monash University
- Pennsylvania State University
- Radboud University
- TU Delft
- University of Amsterdam (UvA)
- University of Bedfordshire
- University of Bergen
- University of Birmingham
- University of Bremen •
- University of Potsdam •
- University of Sheffield;
- University of Twente (UT)
- Uppsala universitet
- VIB
- 27 more »
- « less
-
Field
-
Realities • Research Theme D: Adaptive and Distributed AI for Intelligent Realities • Research Theme E: Networking for Intelligent Realities This PhD research focuses on developing adaptive and distributed AI
-
for next-generation intelligent audio IoT sensors. Your Role and Goals As a Doctoral Researcher, you will: Design energy-efficient digital in-memory computing circuits for on-chip AI inference, spanning both
-
, including a sensor-based system, for studying human-material experiences with temporal and biofabricated textiles. You will then apply this methodology and toolkit in user studies to investigate how people
-
include work with remote sensing, autonomous sensors, environmental monitoring technologies, data integration, and system-level analyses of monitoring performance under changing environmental conditions
-
Materials Experience thinking with biosensing, together with a toolkit, including a sensor-based system, for studying human-material experiences with temporal and biofabricated textiles. You will then apply
-
while collaborating with leading experimental and theoretical researchers at TU Delft and an international network of collaborators. During your PhD, you will publish your work in leading scientific
-
of marine ecosystem monitoring across spatial and temporal scales. The project will include work with remote sensing, autonomous sensors, environmental monitoring technologies, data integration, and system
-
following areas: Virtual, Augmented, and Mixed Reality (VR/AR/MR) Cognitive Modeling and Decision Making Motor Learning Artificial Intelligence and Machine Learning Wearable Technologies and sensors Human
-
world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and
-
following areas: Virtual, Augmented, and Mixed Reality (VR/AR/MR) Cognitive Modeling and Decision Making Motor Learning Artificial Intelligence and Machine Learning Wearable Technologies and sensors Human