Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Wageningen University & Research
- Leiden University
- University of Amsterdam (UvA)
- Utrecht University
- University of Groningen
- University of Twente (UT)
- University of Twente
- Vrije Universiteit Amsterdam (VU)
- Erasmus University Rotterdam
- European Space Agency
- Maastricht University (UM)
- Radboud University
- Naturalis
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Centre Groningen (UMCG)
- ARCNL
- Erasmus University Rotterdam (EUR)
- Radboud University Medical Center (Radboudumc)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Universiteit Leiden
- University of Utrecht
- 13 more »
- « less
-
Field
-
Physics Informed Machine Learning method which exploits the advantages of physics-based and data-driven models, while mitigating the disadvantages. This research will contain experimental and modelling
-
within which they will operate, assessing likely effects and defining mitigation methods. Environments addressed include high-energy radiation from radiation belts; solar particle events and cosmic rays
-
communicate predictions about human behaviour, contributing to trustworthy intelligent systems for high-impact applications. Job description Human behavior understanding is becoming an essential component
-
complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly complex dynamic system. Minor disruptions can lead to major delays
-
commercial spectroscopic sensor and gathering relevant fermentation data. The computational component involves signal processing and data analysis. As this project involves a different sensor technology than
-
machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma
-
Hey machine learning enthusiast with a love for physics and complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly
-
and applications of Remote Sensing, who is also enthusiastic about incorporating AI-based and data-driven methods to extract new insights from Earth Observation data. We are particularly interested in
-
of clinically relevant targets for cancer immunotherapy. In this role, you will support the team by driving mass spectrometry-based method development and contributing your expertise to a range of proteogenomics
-
including dynamical and cosmological horizons, gravitational entropy, Noether charge methods, holographic coarse-graining, chaos, black hole heat engines and quantum field theory in curved space-time. These