Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Groningen
- European Space Agency
- University of Twente
- Wageningen University and Research Center
- Utrecht University
- Radboud University
- Erasmus University Rotterdam
- Leiden University
- CWI
- Radix Trading LLC
- Nature Careers
- ; Maastricht University
- Universiteit van Amsterdam
- VU Amsterdam
- 4 more »
- « less
-
Field
-
Vacancies Postdoctoral Researcher in Computational Mechanics Key takeaways Group of Multiscale Mechanics, Department of Thermal and Fluid Engineering, Faculty of Engineering Technology, University
-
on the resulting algorithms and pipelines. As an emerging paradigm, differentiable programming builds upon several areas of computer science and applied mathematics, including automatic differentiation, graphical
-
Centrum Wiskunde & Informatica (CWI, the Dutch national research institute for mathematics and computer science) has a vacancy in the research group on Multiscale Dynamics for a Postdoc (m/f/x
-
relevant discipline (e.g., data science, computer science, engineering science, artificial intelligence, or health science/psychology with specialization or additional training in data science); Demonstrable
-
. Education is organised into six programme clusters: Psychology; Artificial Intelligence; Pedagogical Sciences and Educational Sciences; Communication Science; Sociology; and Cultural Anthropology and
-
: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
-
, architecture, and/or industrial design. You also possess: Strong analytical skills and innovative attitude Previous experience with finite element simulations and/or rapid prototyping Good programming and image
-
: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
-
August 2025 Apply now Machine Learning models are increasingly important in the atmospheric sciences. After training, they can emulate model outcomes at a fraction of the computational cost of traditional
-
to the ground segment and operations domains, for the procurement and delivery of data systems in support of ESA’s Space Safety Programme, and as a matrix support provider to ESA programmes and mission operations