PhD scholarship in Causal-informed Machine Learning Methods for Climate Modelling - DTU Compute
Tasks
- Analyze complex climate datasets
- Build causal informed AI machine learning models
- Develop causal informed machine learning methods
- Generate probabilistic predictions for Arctic sea ice conditions
- Quantify causal links between climate drivers and sea ice
- Train large scale predictive models on HPC systems
Perks/Benefits
Skills/Tech-stack
Causal Inference | Diffusion Models | Flax | Graph Modeling | HPC | Machine Learning | Neural Networks | PyTorch | Python
Education
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