Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- University of Groningen
- DAAD
- Radboud University
- Vrije Universiteit Brussel
- ; Swansea University
- Nature Careers
- Technical University of Denmark
- Technical University of Munich
- University of Cambridge
- University of Twente
- Wageningen University and Research Center
- ;
- ; Brunel University London
- ; Newcastle University
- ; University of Birmingham
- ; University of Cambridge
- ; University of Exeter
- ; University of Sheffield
- CSIRO
- Cranfield University
- Erasmus University Rotterdam
- Leiden University
- Monash University
- The University of Alabama
- University of Adelaide
- University of Copenhagen
- University of Minnesota Twin Cities
- University of Potsdam •
- University of Tübingen
- Utrecht University
- 20 more »
- « less
-
Field
-
harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
-
) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic hardware. Both projects
-
Vacancies PhD position on Stochastic geometric numerical methods Key takeaways Are you passionate about developing cutting-edge numerical algorithms at the intersection of geometry, stochastic
-
variants of importance sampling. We will connect these methods to modern formulations of Monte Carlo algorithms to improve their accuracy, scalability, and overall computational cost. The methodology so
-
%). The position will be offered for three years and will have as topic the classical emulation of quantum algorithms for the simulation of complex quantum systems. The position will be based at the Institute
-
Europe | 12 days ago
manufacturing, development of machine learning algorithms and design of optical communication networks or power consumption and energy saving. The synergies of MATCH consortium act together to enable the thirteen
-
, or spatial relationships of objects—and to indicate when it is unsure about its input. Key expected outcomes include the creation of monitoring algorithms that identify early signs of performance issues, and
-
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
-
et al (2015). A hybrid metaheuristic algorithm for the multi-depot covering tour vehicle routing problem. European Journal of Operational Research.
-
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