Sort by
Refine Your Search
-
Listed
-
Employer
- Eindhoven University of Technology (TU/e)
- Leiden University
- University of Groningen
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e); Eindhoven
- University of Amsterdam (UvA)
- Leiden University; Leiden
- Radboud University
- University of Amsterdam (UvA); Amsterdam
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- Maastricht University (UM)
- University of Twente (UT)
- University of Twente (UT); Enschede
- Utrecht University
- Eindhoven University of Technology (TU/e); today published
- Erasmus University Rotterdam
- Maastricht University (UM); 27 Sep ’25 published
- Radboud University Medical Center (Radboudumc); Nijmegen
- University of Groningen; 26 Sep ’25 published
- University of Twente
- Utrecht University; Utrecht
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- 14 more »
- « less
-
Field
-
with the rest of the team, you will build demonstators for the Find2Fix technology at our industrial partners. You will work in the cyber analytics and CISE labs in the Algorithmics and Software Engineering
-
transparency and trade secret claims of regulated actors? And explore legal arguments in support of algorithmic transparency and data access for public interest research? How does EU law balance transparency and
-
limitations. The field of interpretable machine learning aims to fill this gap by developing interpretable models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data
-
geometry can be reconstructed mathematically (this is called inverse scattering). This requires both sophisticated mathematical models and efficiently implemented algorithms. In the case of wafer metrology
-
models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data mining has allowed us to obtain insights from large amounts of data for decades, and it is worth
-
interpretable models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data mining has allowed us to obtain insights from large amounts of data for decades, and it is worth
-
control algorithms lies a physics-based simulation model, whose accuracy largely determines the effectiveness of the control loop. Position 3 – High-fidelity simulation of the LAFP process Current
-
for tomorrow’s machine learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential inference algorithms as well as proofs of their correctness and efficiency
-
, employees, IT infrastructure, specialized training). Second, they may require the use of quantitative models, data analysis, and algorithms, but these applications must also safeguard the data privacy and non
-
Europe, Altair, MIT and 12 other partners to build an AI Partner in Engineering (AIPE) that converses with engineers, proposes designs, explains its reasoning and even writes new optimisation algorithms