Sort by
Refine Your Search
-
Listed
-
Employer
- Utrecht University
- Leiden University
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- University of Twente
- Eindhoven University of Technology (TU/e)
- Vrije Universiteit Amsterdam (VU)
- AMOLF
- Radboud University
- European Space Agency
- Maastricht University (UM)
- Radboud University Medical Center (Radboudumc)
- Wageningen University & Research
- 3 more »
- « less
-
Field
-
expertise in the philosophy of mathematics and advanced formal skills. Demonstrable expertise in proof theory and provability logic will be an advantage. Your publication record is that of a talented early
-
by developing a general mathematical theory of symmetries in BP and efficient algorithms for symmetry detection and exploitation. While the related field of mixed-integer programming (MIP) primarily
-
the Netherlands and the UK in the 1980s and 1990s. To do so, you will delve into both personal and movement archives, you will engage with existing theories of queer of colour cultural practices (e.g., Ferguson
-
project, you will Develop theory and a statistical method to estimate genetic variance components in populations under selection (together with colleagues). Validate the new method using simulations
-
they learn, PRL134, 147402 (2025). Qualifications We seek candidates with: A PhD in physics, applied mathematics, materials science, mechanical engineering, computer science, or a related field. Strong
-
(AI) or closely related topics in computer science, mathematics, or physics, a thorough understanding of reinforcement learning, fluency in English. The ideal candidate: is interested in working in a
-
structures. Your work will directly connect fundamental concepts in nanophotonics and measurement theory to the development of new sensing technologies, in close collaboration with experimental researchers and
-
global scale. That is why we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! Faculty of Electrical Engineering, Mathematics and Computer
-
strong mathematical skills (e.g., probability theory, statistics, calculus, and linear algebra); Have strong communication, presentation and writing skills; Enjoy working in a multidisciplinary research
-
work with police professionals and police educators and have run extensive previous research on issues related to this project. About the organisation The faculty of Electrical Engineering, Mathematics