Sort by
Refine Your Search
-
Listed
-
Employer
- University of Groningen
- Leiden University
- University of Twente
- CWI
- Leiden University; Leiden
- Delft University of Technology (TU Delft); Delft
- Utrecht University
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA); Amsterdam
- University of Twente (UT)
- Wageningen University & Research
- Wageningen University and Research Center
- Eindhoven University of Technology (TU/e); Eindhoven
- Maastricht University (UM); Maastricht
- Radboud University
- University of Amsterdam (UvA)
- University of Twente (UT); Enschede
- Erasmus MC (University Medical Center Rotterdam)
- Maastricht University (UM)
- Radboud Universiteit
- University of Amsterdam
- University of Groningen; Groningen
- Utrecht University; Utrecht
- Vrije Universiteit Amsterdam (VU)
- 15 more »
- « less
-
Field
-
period of 4 years at the Eindhoven University of Technology, Department of Mathematics and Computer Science. The student’s working locations will be at Eindhoven University where the PhD candidate will be
-
Radboud Universiteit, Institute for Mathematics, Astrophysics and Particle Physics Position ID: Radboud Universiteit -Institute for Mathematics, Astrophysics and Particle Physics
-
analysis, and high-performance simulations? We offer a challenging PhD position in the Mathematics of Computational Science group to design and analyse novel structure-preserving methods for stochastic
-
environments. The project will build on an interdisciplinary approach, combining concepts and methods from physics, chemistry, and mathematical modelling. The long-term goal is to derive design principles
-
will combine mathematical modelling and case-based research , while contributing to the broader goal of circular and data-driven supply chains. You will apply techniques from operations research
-
techniques); giving mathematical proofs of their correctness and efficiency, as well as robust evaluations of their performance; applying them to solve real-world problems (e.g., gradient estimation challenges
-
. At the intersection of different sub-fields (applied mathematics, software engineering, and medicine), it is expected to refine the scope and goals of the project with the selected applicant, depending on technical
-
faculty within the University. We offer first-rate education and research in a wide range of science and engineering disciplines, from classical disciplines such as mathematics, astronomy and mechanical
-
Biomedical Signals and Systems (BSS) group of the department of Electrical Engineering at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). As a PhD candidate, you will be
-
. Your profile An MSc degree in Artificial Intelligence, (Applied) Mathematics/Physics, Computer Science, Engineering or related field. A strong background/knowledge in machine learning and computer vision