7 machine-learning Postdoctoral research jobs at King Abdullah University of Science and Technology

Postdoc in Machine Learning

The Machine Learning (ML) group led by Professor Ricardo Henao at KAUST (King Abdullah University of Science and Technology) has multiple openings for Postdoctoral level positions to conduct

Postdoctoral position on Hierarchical Optimization methods for Machine Learning

be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following

Postdoctoral fellowship in Water Desalination and Machine Learning

are looking for young scientists who are passionate about water desalination and machine learning with its potentially transformative applications in research and industry. The two-year post-doctoral position

AI for a Sustainable Future: Postdoctoral Research Opportunity at KAUST

and Livability Initiative (CLI). The researcher will leverage machine learning (ML) to enhance natural hazards forecasting, climate change impact assessment, and water resources assessment

Postdoc positions in Bayesian Deep Learning at KAUST

Postdoctoral Researchers to work on research problems at the interface between a selection of the following areas: - Bayesian inference for deep learning - Generative modeling - Computational statistics

Postdoc Position: Geological Carbon Storage Modeling and Uncertainty Quantification with Deep Learning

project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict

Senior/Junior Postdoctoral fellow in Bioinformatics

of state-of-the-art bioinformatics pipelines; (ii) single-cell analysis, multi-omic analysis; (iii) spatial transcriptomics bioinformatic analysis. Learning and implementing Systems Medicine-based analysis