Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Radboud University
- AALTO UNIVERSITY
- Delft University of Technology (TU Delft)
- Duke University
- Eindhoven University of Technology (TU/e)
- Instituto de Sistemas e Robótica (ISR)
- NTNU - Norwegian University of Science and Technology
- Purdue University
- UNIVERSITAT POMPEU FABRA
- University of Amsterdam (UvA)
- University of Antwerp
- University of Florida
- University of Michigan
- University of South-Eastern Norway
- 4 more »
- « less
-
Field
-
planning and decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch
-
, Pharmacogenomics, and AI/Machine Learning Job Description: A Postdoctoral Research Associate position is immediately available for a highly motivated, independent, and ambitious candidate in the Department
-
deep generative models (VAEs, GANs, diffusion models) or probabilistic modelling is a strong plus. You have good programming skills in Python and experience with a deep learning framework such as PyTorch
-
Development of reproducible software tools and computational workflows for biomedical research Develop novel AI, machine learning, and deep learning methods to address complex biomedical questions in diabetes
-
from flat model catalysts with advanced nanostructured electrodes engineered for real-world electrolyzers. This project combines deep dives into surface chemistry with engineering to produce a tangible
-
or environmental engineering, Mathematics (Operations research) or Computer Science or Machine Learning). Documented knowledge of relevant methodologies, both quantitative and/or qualitative, at master’s level
-
-to-confidence set conversion' framework recently proposed by the PI (Principal Investigator). The models of interest include deep neural networks with multiple layers and non-linear activations, extending recent
-
programming languages (Python or C++), machine learning/deep learning, computational chemistry and polymer chemistry is an advantage. You have a good knowledge of English, both oral and written. Your research
-
imaging (crucial) Experience with image segmentation, deep learning, or computer vision. Experience with 3D image processing or inverse problems. Experience with experimental research and data acquisition
-
learning and deep learning applied to electroencephalography in the context of brain-computer interfaces, including experience with MATLAB and Python and in the design and conduct of experimental studies