Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Groningen
- NTNU - Norwegian University of Science and Technology
- University of Southern Denmark
- Curtin University
- Nature Careers
- ;
- ; Newcastle University
- Chalmers University of Technology
- Cranfield University
- DAAD
- Ghent University
- Linköping University
- Radboud University
- Technical University of Denmark
- Technical University of Munich
- Umeå University
- University of Adelaide
- ; Brunel University London
- ; The University of Manchester
- ; University of Leeds
- ; University of Sheffield
- Aalborg University
- Erasmus University Rotterdam
- Forschungszentrum Jülich
- Harper Adams University
- Leibniz
- Lulea University of Technology
- Monash University
- SciLifeLab
- University of Antwerp
- University of Glasgow
- University of Texas at Austin
- Vrije Universiteit Brussel
- Wageningen University and Research Center
- 24 more »
- « less
-
Field
-
such as textiles. 2. Proven ability to develop and implement advanced motion-planning algorithms and real-time control schemes, ideally demonstrated through digital-twin simulations and hardware-in-the-loop
-
for AI based algorithms. Research experience in these areas will be highly valued. The successful candidate will also contribute to the formulation and submission of research publications, development
-
control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the opportunity to deeply engage with
-
more sustainable? If you share our passion for technology and the difference it can make in meeting the UN’s Sustainable Development Goals, perhaps you are one of our two new PhD students. At DTU Electro
-
algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
-
leverage low-precision accelerators for scientific computing by using a number of tricks, known as "mixed-precision" algorithms. Developing such algorithms is far from trivial. We can look at computational
-
interactions need to be strengthened, integrating the extracted requirements into services, prototyping the necessary interfaces/software, and iteratively testing via case studies. The development
-
. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
-
. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
-
-tasks and language models. This position is part of SDU’s initiative to develop energy-efficient AI accelerators based on alternative model architectures that cannot be leveraged as efficiently