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learning, data science, atmospheric sciences, geophysics, or related fields. Solid numerical modelling and programming skills (e.g., Python, TensorFlow, scikit learn) are essential, along with a basic
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communications, fundamental knowledge on computing architectures, and advanced programming skills (e.g., Python, C++, Matlab/Octave). Experience with simulation, emulation, and modelling tools for signal
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Prediction (AI-focused) This position focuses on developing cutting-edge AI methods for genetic risk prediction across multiple cancer types, with a strong focus on model performance and explainability
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. The PhD student will join the Life Cycle Sustainability (LCS) group that brings together multiple competences within industrial ecology and sustainability science for the holistic and quantitative