Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
Vacancies PhD Position: AI-assisted EEG Monitoring in the ICU Key takeaways Continuous EEG (cEEG) monitoring is essential for managing patients in the intensive care unit (ICU), especially after
-
Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate, Secure Computation Technologies and Applications to Machine Learning
-
-resolution, open-access climate projection ensembles with statistical and machine learning-based resampling techniques (e.g., k-nearest neighbours) to simulate weather-dependent energy supply and demand
-
footprints and enhanced functionality. As a PhD researcher, you will: develop and validate high-throughput experimental methods to assess food ingredient functional properties; apply machine learning
-
Apply now The Faculty of Science and Leiden Institute of Advanced Computer Science (LIACS) are looking for candidates for a: PhD in Deep learning for Electron Microscopy pipelines (1.0 fte) As a PhD
-
Vacancies PhD ESG-Based Decision-Making for Customer Portfolio Management Key takeaways Insurance companies play a key role in financial markets—not by generating direct monetary value, but by
-
of the processing system online. Our approach will be to draw on a broad selection of tools including (deep) reinforcement learning, queuing networks, online algorithms and systems engineering. In addition, a large
-
UC Berkeley after obtaining her PhD from the University of Amsterdam for which she did research at MIT and Sigma Computing. Her general research interest is on the intersection of machine learning
-
of Amsterdam. Interested in developing fundamental machine learning techniques for tabular data to democratize insights from high-value structured data? Then this fully-funded 4-year PhD position starting Fall
-
faces. At the same time, reinforcement learning is a key technology in artificial intelligence and machine learning that set various state-of-the-art results. In the Reinforcement Learning Lab