Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- Delft University of Technology (TU Delft); Delft
- Fraunhofer-Gesellschaft
- Cranfield University
- Tallinn University of Technology
- Technical University of Denmark
- CNRS
- Forschungszentrum Jülich
- University of Southern Denmark
- Delft University of Technology (TU Delft); today published
- Linköping University
- RWTH Aachen University
- Roma Tre University
- ;
- Aristotle University of Thessaloniki
- DAAD
- GFZ Helmholtz Centre for Geosciences
- ISCTE - Instituto Universitário de Lisboa
- KU LEUVEN
- Leibniz
- Technical University Of Denmark
- Umeå University
- University of Luxembourg
- University of Nottingham
- Uppsala universitet
- ; Swansea University
- ; University of Southampton
- Ariel University
- Arts et Métiers Institute of Technology (ENSAM)
- Chalmers University of Technology
- Curtin University
- Delft University of Technology
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- FEMTO-ST
- Forschungsinstitut für Nutztierbiologie (FBN)
- Fraunhofer Institute for Wind Energy Systems IWES
- Ghent University
- Heraeus Covantics
- Instituto de cerámica y vidrio
- Ludwig-Maximilians-Universität München •
- Lunds universitet
- Monash University
- Multiple
- Stockholms universitet
- Technical University of Denmark;
- Technical University of Munich
- The University of Alabama
- UNIVERSIDAD POLITECNICA DE MADRID
- Universidad de Alicante
- University of Bremen •
- University of Exeter;
- University of Newcastle
- University of Potsdam •
- University of Stuttgart
- University of Trento
- Universität Düsseldorf
- Université de Bordeaux - Laboratoire IMS
- Vrije Universiteit Brussel
- 50 more »
- « less
-
Field
-
This self-funded PhD opportunity explores assured multi-sensor localisation in 6G terrestrial and non-terrestrial networks (TN–NTN), combining GNSS positioning, inertial systems, and vision-based
-
to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device (SFDI) and also from our custom-built photoplethysmography (PPG) sensor
-
(SFDI) and also from our custom-built photoplethysmography (PPG) sensor. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in
-
quality monitoring system. Potential applications will initially focus on drinking water distribution networks. The main sources of water pollution are relatively well documented in the literature
-
electric machines•Nanomaterials for next-generation electronic and photonic nanodevices•Oxide materials for MEMS piezoelectric and multiferroic sensors/actuators•Solid-state devices such as solar cells
-
attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
-
industries: in-car systems, medical devices, phones, sensor networks, condition monitoring systems, high-performance compute, and high-frequency trading. This CDT develops researchers with expertise across
-
performance and their scalability on a vessel. The PhD candidate will address these challenges by setting up performance monitoring systems using cost effective sensors and IoT devices. To enhance assessment
-
wide range of markets such as automotive, industrial and aerospace. Our interdisciplinary field of "Microdisplays and Sensors" is engaged in the development and manufacturing of micro-displays and
-
Challenge: Building self-organizing edge infrastructure that seamlessly adapts across terrestrial, cloud, and satellite networks. Change: Creating autonomous systems that unify edge orchestration