Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- University of Groningen
- Curtin University
- Linköping University
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- Technical University of Munich
- University of Southern Denmark
- ; Newcastle University
- Cranfield University
- Ghent 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
- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus University Rotterdam
- Forschungszentrum Jülich
- Harper Adams University
- Heraeus Covantics
- ISCTE - Instituto Universitário de Lisboa
- Leibniz
- Lulea University of Technology
- Monash University
- Radboud University
- Radboud University Medical Center (Radboudumc); Nijmegen
- Saarland University •
- The University of Manchester
- University of Antwerp
- University of Copenhagen
- VIB
- Vrije Universiteit Brussel
- Wageningen University and Research Center
- 31 more »
- « less
-
Field
-
of recycled 6xxx Aluminium alloys subjected to different thermomechanical treatments” BCAST is a specialist research centre in metallurgy with a focus on processing of metallic materials
-
CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm
-
innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and
-
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
-
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
-
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
-
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