Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Denmark
- Nature Careers
- Cranfield University
- DAAD
- Technical University of Munich
- ;
- Forschungszentrum Jülich
- University of Southern Denmark
- Chalmers University of Technology
- Monash University
- Curtin University
- Lulea University of Technology
- NTNU - Norwegian University of Science and Technology
- Ghent University
- Umeå University
- University of Groningen
- ; Swansea University
- Leiden University
- University of Adelaide
- ; Newcastle University
- ; University of Southampton
- Fraunhofer-Gesellschaft
- University of Luxembourg
- University of Nottingham
- Vrije Universiteit Brussel
- ; Technical University of Denmark
- ; The University of Manchester
- ; University of Birmingham
- Leibniz
- Linköping University
- Radboud University
- University of Cambridge
- ; University of Bristol
- ; University of Cambridge
- ; University of Exeter
- ; University of Leeds
- ; University of Sheffield
- Aalborg University
- Aarhus University
- Empa
- Humboldt-Stiftung Foundation
- Queensland University of Technology
- RWTH Aachen University
- University of British Columbia
- University of Potsdam •
- University of Sheffield
- University of Southern Queensland
- University of Twente
- Utrecht University
- ; Brunel University London
- ; Cranfield University
- ; Loughborough University
- ; University of East Anglia
- ; University of Greenwich
- ; University of Nottingham
- ; University of Oxford
- ; University of Surrey
- Abertay University
- Ariel University
- Aristotle University of Thessaloniki
- CNRS
- Deutsches Elektronen-Synchrotron DESY •
- Erasmus University Rotterdam
- Forschungsinstitut für Nutztierbiologie (FBN)
- GFZ Helmholtz Centre for Geosciences
- Harper Adams University
- Helmholtz-Zentrum Geesthacht
- Institut Pasteur
- KU LEUVEN
- Karlsruher Institut für Technologie (KIT)
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- Roskilde University
- Ruhr-Universität Bochum •
- Saarland University •
- SciLifeLab
- Swedish University of Agricultural Sciences
- TU Dresden
- Trinity College Dublin
- University of Antwerp
- University of Bern
- University of Bremen •
- University of Copenhagen
- University of Oslo
- Uppsala University
- Wageningen University and Research Center
- 78 more »
- « less
-
Field
-
available sensor and meter infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs
-
The Alexander von Humboldt Foundation and the Fraunhofer Gesellschaft jointly present up to three Fraunhofer-Bessel Research Awards a year. This science award honours internationally recognised academics working
-
agricultural robotics and new sustainable farming practices. The PhD projects will be combining new sensor systems and perception algorithms. So, if you are one of the 2 selected applicants, your primary
-
-house database of experimental real-world data enabling large-scale validation of developed algorithms. Wind turbine drivetrains are critical components, and their failures can lead to significant
-
available sensor and meter infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs
-
, or their LiDAR beam is blocked by a truck. To reach level-4/5 autonomy, we need teamwork: nearby vehicles, drones, and roadside units must co-perceive their environment, sharing and fusing complementary sensor
-
Europe | about 1 month ago
on MCF technology in Europe. Training of DCs will exploit multidisciplinary consortium expertise spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device
-
—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
-
and innovation catalyst, in this exciting project, you will develop novel algorithms to monitor and analyse workers' movements, detect harmful movement patterns, and implement simple intervention
-
specialist collaborator to guarantee adequate integration of perception and action; advanced motion-planning and control algorithms, continuously refined via robotic digital twins, enable reliable handling