Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- University of Groningen
- Delft University of Technology (TU Delft); today published
- University of Amsterdam (UvA); Published today
- Vrije Universiteit Amsterdam (VU)
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); Published 11 Nov ’25
- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus University Rotterdam
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Tilburg University
- Universiteit Maastricht (UM); 27 Sep ’25 published
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); Published 21 Nov ’25
- University of Amsterdam (UvA); today published
- Wageningen University & Research
- 11 more »
- « less
-
Field
-
should have an intrinsic interest for marketing problems. The PhD will be supervised by Prof. Dr. Lemmens and funded by a VICI NWO grant. Keywords Algorithmic bias, Causal Inference, Discrimination
-
of AI for the integration of multimodal healthcare data specifically incorporating patient preferences. This includes investigating new methods but also designing and benchmarking integration algorithms
-
or incomplete. Information Your tasks will include: Developing and benchmarking ML/AI algorithms tailored to low-data regimes — e.g. few-shot learning, transfer learning or data-efficient representation learning
-
designing and benchmarking integration algorithms. The position is situated in the Intelligent Data Engineering Lab and will be supervised by Dr. Jan-Christoph Kalo and Prof. Paul Groth. What you will do
-
tagging algorithm development as well as physics data analysis, with a focus on Higgs boson physics, top quark physics, and searches for new physics signatures. This is what you will do After the discovery
-
high quality and robust integration. The PhD is situated in the Intelligent Data Engineering Lab and will be supervised by Dr. Jan-Christoph Kalo and Prof. Paul Groth. What you will do Your tasks and
-
(FELIX) for ATLAS detector systems. The group also has a strong record in track reconstruction, flavour tagging algorithm development as well as physics data analysis, with a focus on Higgs boson physics
-
construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
-
Dr. Jan-Christoph Kalo and Prof. Paul Groth. What you will do Your tasks and responsibilities: perform novel research at the intersection of data integration and foundation models; publish and present
-
To boldy go where no man has gone before. Job description The PostDoc position is part of research of prof. Bernd Rieger and prof. Sjoerd Stallinga, in which we target (super-resolution) microscopy