Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Groningen
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- Curtin University
- Technical University of Denmark
- Technical University of Munich
- University of Southern Denmark
- ; Newcastle University
- Cranfield University
- Ghent University
- Linköping University
- Umeå University
- University of Adelaide
- ;
- ; Brunel University London
- ; University of Leeds
- ; University of Sheffield
- Aalborg University
- CNRS
- Chalmers University of Technology
- DAAD
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Erasmus University Rotterdam
- Forschungszentrum Jülich
- Harper Adams University
- Helmholtz-Zentrum Geesthacht
- Heraeus Covantics
- ISCTE - Instituto Universitário de Lisboa
- Leibniz
- Lulea University of Technology
- Monash University
- Newcastle University
- Radboud University
- Radboud University Medical Center (Radboudumc); Nijmegen
- Saarland University •
- SciLifeLab
- The University of Manchester
- University of Antwerp
- VIB
- Vrije Universiteit Brussel
- Wageningen University and Research Center
- 32 more »
- « less
-
Field
-
into how algorithmic systems influence the circulation of information and disinformation across digital platforms, and how such processes affect perceptions of credibility, truth, and democratic
-
aims to develop responsible transport appraisal methods that consider multiple performance metrics simultaneously, with a special emphasis on fairness to weigh different circumstances, constraints, and
-
novel opportunity to automate and improve the frailty assessment process, aiming for greater consistency and predictive accuracy. Aims i) Develop a deep learning algorithm to autonomously detect and
-
the department form a diverse group with different nationalities, backgrounds, and fields. If you work as a doctoral student with us you will receive the benefits of support in career development, networking
-
on preferences the candidates will work along one (or more) of the following different directions: theoretical foundation involving quantitative models (e.g. stochastic, timed weighted, hybrid automata) and logics
-
imaging, based on absorption, provides good image contrast between high- and low-density materials, such as bones and soft tissue. However, it cannot distinguish subtle density differences between soft
-
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
-
the computational activities in a large closed-loop collaboration that includes computational, biotechnological and automation activities, requiring a solid understanding of the different areas involved in
-
data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional