Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Ghent University
- Technical University of Munich
- ;
- Chalmers University of Technology
- DAAD
- University of Groningen
- Curtin University
- Erasmus University Rotterdam
- Nature Careers
- University of Antwerp
- ; Newcastle University
- ; University of East Anglia
- ; University of Oxford
- CWI
- Cranfield University
- Forschungszentrum Jülich
- Harper Adams University
- Monash University
- NTNU - Norwegian University of Science and Technology
- Prof. Ruilin Pei and Shenyang University of Technology
- SciLifeLab
- Technical University of Denmark
- Trinity College Dublin
- University of Adelaide
- University of Copenhagen
- University of Twente
- Vrije Universiteit Brussel
- Wageningen University and Research Center
- 18 more »
- « less
-
Field
-
for greater precision. Machine learning (ML) algorithms will analyse these datasets to deliver a scalable, cost-effective system, validated through field trials and enhanced by contributions from four
-
1,000 employees from over 50 nations, it is the largest institute of the Max Planck Society . The Department of Theoretical and Computational Biophysics headed by (Prof. Dr. Helmut Grubmüller) is
-
application from qualified women. About the position The position involves both teaching and engaging in innovative research projects on tractor autonomy, path-planning algorithms, soil compaction modeling, and
-
The Institute for Infection Prevention and Control (IPC, Head Prof. Dr. Philipp Henneke) is looking as soon as possible for a Bioinformatician (m/f/d, PhD) with focus on the analysis of large
-
modular, scalable, and transparent control algorithms suitable for real-time implementation across different vehicle platforms. - Contribute to theoretical developments in stochastic model predictive
-
of the North Sea. Existing automated detection algorithms will be used to identify seals and porpoises. The results will be used to create seasonal acoustic presence maps, investigate differences in community
-
approach could resolve this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat
-
. You will work under the supervision of Prof. Francisco C. Pereira, Assoc. Prof. Carlos Lima Azevedo (DTU), Dr. Biagio Ciuffo and Dr. Georgios Fontaras (JRC). You will work on research focused
-
Description The Chair of Transport Modelling and Simulation at TUD Dresden University of Technology is investigating models, algorithms and simulations to achieve an enhanced scientific
-
motors and braking technology, high-torque density axial flux electrical motors, development of servo controllers and algorithms, and special electrical machines such as superconducting electrical motors