108 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" "UNIS" PhD positions in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Utrecht University
- University of Twente
- Leiden University
- Wageningen University and Research Center
- CWI
- Erasmus University Rotterdam
- Radboud University
- Delft University of Technology (TU Delft)
- KNAW
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU)
- Radix Trading LLC
- Universiteit van Amsterdam
- University of Amsterdam
- University of Twente (UT)
- 6 more »
- « less
-
Field
-
Vacancies PhD position on Stochastic geometric numerical methods Key takeaways Are you passionate about developing cutting-edge numerical algorithms at the intersection of geometry, stochastic
-
. This is what you will do This PhD project is expected to go back and forth between methodological and theoretical developments; and applied works toward the clinical applications within the group. Tasks and
-
such as textiles. 2. Proven ability to develop and implement advanced motion-planning algorithms and real-time control schemes, ideally demonstrated through digital-twin simulations and hardware-in-the-loop
-
mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant
-
-centred artificial intelligence. Demonstrated experience in prototype development and with quantitative and qualitative research methods, preferably also experience with user-centred design. Interest in
-
. students, working on all aspects of RF integration problems You will have ample interaction with multiple industries that are keen to apply your insights You are surrounded by the best (industrial
-
-research-projects-awarded-through-open-competition-domain-science-m-programme ). Responsibilities and tasks: Development of novel electrocatalysts for N2 fixation. Fabrication of single cells with targeted
-
collections interact with power, knowledge, and ongoing processes of heritagization. The candidate is encouraged to develop new methodologies that center community-led, ethical, and innovative approaches
-
of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world network data
-
promising avenue to support a healthy, multi-functional and future-proof soil and farming system. Together with regenerative Dutch farmers, ReGeNL is developing a future-proof agricultural sector in which