Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Tübingen
- Nature Careers
- Erasmus University Rotterdam
- Ludwig-Maximilians-Universität München •
- University of Groningen
- University of Sheffield
- Universität Hamburg •
- ;
- ; University of Bristol
- ; University of Sheffield
- CSIRO
- CWI
- Cranfield University
- Dresden University of Technology •
- Ghent University
- Goethe University Frankfurt •
- Julius-Maximilians-Universität Würzburg •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Philipps-Universität Marburg •
- Queensland University of Technology
- Ruhr-Universität Bochum •
- Technical University of Denmark
- Technische Universität Berlin •
- The University of Auckland
- Umeå University
- Universiteit van Amsterdam
- University of Cambridge
- University of Göttingen •
- University of Southern Denmark
- University of Utah
- Utrecht University
- 21 more »
- « less
-
Field
-
phenomena across scales, combining multiple fields including physics, mathematics, astronomy, history & philosophy of science, and social science. Its approach to societal engagement throughout the project’s
-
ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling to pioneer innovative sealing solutions. What We Offer Full 4-year Funding for UK applicants
-
record of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of
-
scales and different phases which leads to nonlinear time and history dependent material behavior. Additionally, innovative changes are happening in the steel production process, especially in the drive
-
complexity science, mathematical modelling in evolution, ecology and plant biology, along with transferable skills, including interdisciplinary communication and collaboration. You will also be offered
-
scales and different phases which leads to nonlinear time and history dependent material behavior. Additionally, innovative changes are happening in the steel production process, especially in the drive
-
Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure. Visit us on LinkedIn and discover how you can become
-
environmental and life sciences challenges. Courses will cover topics such as complexity science, mathematical modelling in evolution, ecology and plant biology, along with transferable skills, including
-
the solution of governing PDEs. - Train machine learning models to predict lifetime and failure based on loading and environmental histories. The PhD student will have access to world-class computing facilities
-
bring: A PhD, or an equivalent combination of qualifications and demonstrated research experience, in Electrical Engineering, Mathematics or related fields, with a focus on power systems engineering