Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Eindhoven University of Technology (TU/e)
- Utrecht University
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- European Space Agency
- Leiden University
- University of Twente
- Erasmus University Rotterdam
- Vrije Universiteit Amsterdam (VU)
- Radboud University
- Wageningen University & Research
- Tilburg University
- University Medical Center Utrecht (UMC Utrecht)
- University of Twente (UT)
- ;
- AMOLF
- Amsterdam UMC
- DIFFER
- NIOZ Royal Netherlands Institute for Sea Research
- Nature Careers
- Radix Trading LLC
- 11 more »
- « less
-
Field
-
PhD position: Global soil mapping with process-informed machine learning Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline
-
Mathematics (Inverse Problems), Computer Science (Machine learning, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of the NXTGen High-tech
-
Vacancies 2x PhD positions in the Mathematical Foundations of Machine Learning on Graphs and Networks Key takeaways The Discrete Mathematics and Mathematical Programming (DMMP) group
-
degree in AI, Computing Science, Mathematics, or Data Science. Strong coding, communication and organizational skills. Demonstrable experience with using machine learning packages (e.g., PyTorch
-
organizational skills. Demonstrable experience with using machine learning packages (e.g., PyTorch). Completed academic courses in AI or machine learning. We consider it an advantage if you bring experience with
-
diversification and change we see across languages today. Job description This 4-year PhD project will use group communication games and artificial language learning experiments to investigate the role of social
-
related discipline. A solid background in de novo protein design, protein structure prediction (Rosetta, AlphaFold, …), protein expression, structure elucidation, machine learning, C/C++ and/or Python with
-
from animal studies to humans) in drug discovery, dynamical systems for long-horizon time series forecasting, and verifiably safe reinforcement learning. While both PhD positions are part of the same
-
discipline. Experience with deep learning framework PyTorch or similar. Strong background in machine learning, image or signal processing. Knowledge of SotA models for multi-modality and scene understanding
-
, the identification of predictive features, and the construction and validation of statistical or machine-learning-based models. The postdoctoral researcher will be responsible for: Developing a