Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- AMOLF
- KNAW
- Maastricht University (UM)
- Radboud University
- University of Amsterdam (UvA); yesterday published
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e); Eindhoven
- Eindhoven University of Technology (TU/e); Published today
- Eindhoven University of Technology (TU/e); yesterday published
- Leiden University
- Maastricht University (UM); 18 Oct ’25 published
- Tilburg University
- Universiteit van Amsterdam
- University of Amsterdam (UvA)
- University of Twente
- University of Twente (UT)
- University of Twente (UT); Enschede
- 12 more »
- « less
-
Field
-
(material) scales, using a combination of experimental and numerical techniques. Current research is focused on sustainability-related topics, such as alternative materials, ageing and healing response
-
of pavements. All these topics are addressed at various (material) scales, using a combination of experimental and numerical techniques. Current research is focused on sustainability-related topics, such as
-
essential for transitioning to a carbon-neutral and energy-efficient society. Methane, a key component of natural gas and a by-product of numerous industrial processes such as naphtha cracking, presents a
-
by-product of numerous industrial processes such as naphtha cracking, presents a compelling opportunity. Current practices, such as combusting methane to sustain energy-intensive operations
-
written communication skills in English are required. Other advantageous qualities include experience with coding (Python\Matlab) and numerical methods, as well as familiarity with concepts in complex
-
, such as financial reporting, management accounting, and sustainability, using state-of-the-art experimental, analytical, and archival methods. Our research group is highly ranked, has a strong international
-
understandable explanations from machine learning models. We will achieve this together by creating the first mathematical framework for explainable AI and developing new explanation methods. This will involve
-
methods. This will involve using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as well as programming to test out
-
meter with a non-insulating pipe wall. The research will use existing MHD direct numerical simulations to investigate the flow physics. You will also construct a prototype to test the performance using
-
of turbulent pipe flows. In this project you explore novel fundamental approaches of an EM flow meter with a non-insulating pipe wall. The research will use existing MHD direct numerical simulations