Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- European Space Agency
- Delft University of Technology (TU Delft); Delft
- Leiden University
- Delft University of Technology (TU Delft)
- University of Groningen
- University of Twente
- CWI
- University of Twente (UT)
- Utrecht University
- Eindhoven University of Technology (TU/e)
- Leiden University; Leiden
- Max Planck Institute (MPI) for Psycholinguistics
- Radboud University
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Wageningen University and Research Center
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- AMOLF
- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus University Rotterdam
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- Tilburg University; Tilburg
- Universiteit van Amsterdam
- 19 more »
- « less
-
Field
-
strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners on design optimization, life-cycle analysis, and business case
-
Village to calibrate and validate models. Investigating control strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners
-
simulations. Job Description Are you passionate about bridging computational modeling with clinical cardiology to solve real-world healthcare challenges? We're seeking a PhD candidate to develop innovative
-
and presented at international AI, software engineering, and security venues. The position is focused on discovering new errors using behavioral models learned from software. You will extend fuzzing
-
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
-
suggested patches, easier to understand using interpretable AI using state machine models and LLM-based explanations. You will provide the community with the first tool for self-healing software that is
-
unique opportunity to contribute to the technological foundations for tomorrow’s machine learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential
-
geospatial workflows on an abstract level, using purpose-driven concepts and conceptual transformations; develop AI and machine learning based technology to automate the description and modeling of data
-
such as case weighting, anomaly detection, and model-based prediction (e.g., geostatistics and machine learning), using auxiliary geospatial or remotely sensed data. Quantifying uncertainty and correcting
-
multimodal deep learning models that integrate imaging and clinical data to personalize treatment and follow-up strategies. In the Netherlands, around 75% of patients with an abdominal aortic aneurysm (AAA