Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Maastricht University (UM)
- University of Twente (UT)
- Wageningen University & Research
- University of Amsterdam (UvA)
- University of Groningen
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Leiden University
- Amsterdam UMC
- Radboud University Medical Center (Radboudumc)
- AMOLF
- Radboud University
- ARCNL
- Amsterdam University of Applied Sciences (AUAS/HvA))
- Centrum Wiskunde en Informatica (CWI)
- DIFFER
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- IHE
- Leiden University Medical Center (LUMC)
- TU Delft
- Tilburg University
- Universiteit Leiden
- University Medical Center Groningen
- University Medical Center Utrecht (UMC Utrecht)
- 19 more »
- « less
-
Field
-
teaching load. Where to apply Website https://www.academictransfer.com/en/jobs/362661/postdoctoral-researchers-in-geo… Requirements Specific Requirements We are looking for outstanding researchers who
-
substantial experience with machine learning techniques. You have experience with the PreFer data challenge. You have experience with working with Dutch register data. You have the ability to identify
-
generation of experts skilled in the combination of Operation Research and trustworthy Machine Learning. CoRDS goes beyond the state-of-the-art DDO methods by proposing decision support frameworks that combine
-
requirements Essentials: Basic knowledge of power systems and machine learning/AI. Completed an MSc degree in a highly technical related discipline (computer science, electrical engineering, etc.) and you were
-
research for the foreseeable future. There is a large interest from researchers, industry, and students. LIACS has a strong multidisciplinary AI portfolio (Machine Learning, Human-Computer Interaction
-
topic of transport geography.More specifically, you will work on the topic of "inclusive, sustainable, and efficient accessibility: systematically evaluating and learning from 'smart' initiatives." What
-
science, including experience with machine learning and high-dimensional data; you have demonstrable expertise or affinity with nutrition and health research; you have a proven ability to publish high
-
results in scientific journals You contribute about 10% of your time to teaching and supervising in bachelor and master programs Where to apply Website https://www.academictransfer.com/en/jobs/362571/phd
-
PhD candidate you will develop new ways to extract cosmic-ray physics from KM3NeT data. You will design and characterise reconstruction methods—both machine-learning-based and traditional
-
experiments and computer simulations of stochastic nonlinear dynamical systems, with a balance to be determined by your interests and skills. For both experiments and simulations, you will learn all