Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Cranfield University
- Technical University of Munich
- ;
- Technical University of Denmark
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- University of Southern Denmark
- Monash University
- ; The University of Manchester
- Curtin University
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- Umeå University
- ; Swansea University
- Ghent University
- University of Adelaide
- University of Twente
- ; Newcastle University
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Leeds
- Aalborg University
- Chalmers University of Technology
- DAAD
- Linköping University
- Radboud University
- SciLifeLab
- University of British Columbia
- University of Groningen
- University of Nottingham
- University of Southern Queensland
- Utrecht University
- Vrije Universiteit Brussel
- ; University of Birmingham
- ; University of Bristol
- ; University of Exeter
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; University of Warwick
- Aarhus University
- Blekinge Institute of Technology
- Copenhagen Business School , CBS
- Deutsches Elektronen-Synchrotron DESY •
- Helmholtz-Zentrum Geesthacht
- Institut Pasteur
- Leibniz
- Leiden University
- Lulea University of Technology
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- Queensland University of Technology
- Saarland University •
- University of Bern
- University of Bremen •
- University of Cambridge
- University of Copenhagen
- University of Oslo
- University of Potsdam •
- Uppsala University
- 50 more »
- « less
-
Field
-
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
-
. Real-World Validation: Deploy and benchmark your algorithms on our autonomous vehicle, mobile robots, and UAV testbeds. You will: Publish in CVPR/ICCV/ECCV, NeurIPS/ICLR, INFOCOM/ISIT and leading IEEE
-
developments such as novel algorithms to support logistics operations, novel automation approaches or the design and development of new digital support tools for logistics providers. Significant flexibility will
-
developments such as novel algorithms to support logistics operations, novel automation approaches or the design and development of new digital support tools for logistics providers. Significant flexibility
-
sustainability. The research will delve into power-aware computing strategies, thermal management, and the development of algorithms that balance performance with energy consumption. Students will aim to create
-
-critical systems. The research will focus on developing AI-powered verification tools, health monitoring algorithms, and compliance assurance techniques that ensure system reliability throughout
-
safety. You will work on developing control algorithms all the way to performance assessment in test vehicles. The project combines theoretical aspects of control algorithms, experimental design, and
-
of advanced computational techniques. This research will integrate power system modelling, optimisation algorithms, and artificial intelligence (AI) techniques to develop an innovative framework for strategic
-
200 people, working in four divisions: Algorithms, AI & Data Science, Software, and Interaction. The atmosphere is collegial and informal. You will join the Human-Centred Computing group
-
microscopy and atom probe tomography will be prepared. Finally, you will merge the images by means of deep learning algorithms. Your tasks in detail Development of the experimental protocol for the imaging