6 machine learning PhD scholarships in Belgium

PhD Student Causal Machine Learning

-generating mechanism, integrating it with recent insights from debiased machine learning and causal inference. Besides laying foundations for a novel paradigm for causal/statistical modeling, this project

PhD: AI for data-driven representation optimization for time series

Dept. ESAT of KU Leuven (Belgium) in the frame of the AI initiative of the Flemish Government. The goal of this research is to develop new machine learning methods for data-driven selection and

PhD positions in Sustainable Data-centric Control

to have a strong theoretical and numerical background in one or more of the following fields: Control theory and dynamical systems Theoretical Machine Learning Data science and information theory

PhD positions in Sustainable Data-centric Control

resources. Applicants are expected to have a strong theoretical and numerical background in one or more of the following fields: Control theory and dynamical systems Theoretical Machine Learning Data science

PhD position in Molecular and Computational Neurogenomics

-of-the-art molecular biology techniques, multimodal data generation and integration, gene regulatory network reconstruction and wide range of machine learning approaches The host labs will provide financial

PhD molecular and computational neurogenomics

-type specific samples, state-of-the-art molecular biology techniques, multimodal data generation and integration, gene regulatory network reconstruction and wide range of machine learning approaches