14 machine-learning scholarships at University of Antwerp in Belgium

Doctoral scholarship holder medical image processing and analysis using deep learning

of MRI and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and neuroscience), and computer science (data analysis, machine learning, and artificial

Doctoral scholarship holder medical image processing and analysis using deep learning

microstructure, immunostaining, and neuroscience), and computer science (data analysis, machine learning, and artificial intelligence) to achieve a breakthrough in microstructure imaging with MRI. Position You

Doctoral scholarship holder applied mathematics: statistics

Mathematics: Statistics Position You will work actively on the preparation and defence of a PhD thesis in statistics and data science. Possible topics are causal machine learning, causal inference, robust

Doctoral scholarship holder computational neurobiology

excellent academic performance, especially in the relevant subjects, such as mathematics, statistics, machine learning and bioinformatics. You have strong programming skills in Python (R is a plus) You have

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

Doctoral scholarship holder in vivo microstructure imaging with MRI

neuroscience), and computer science (data analysis, machine learning, and artificial intelligence) to achieve a breakthrough in microstructure imaging with MRI. Position You will focus on the acquisition

Doctoral scholarship holder in vivo microstructure imaging with MRI

processing of MRI and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and neuroscience), and computer science (data analysis, machine learning, and artificial

Doctoral scholarship holder in vivo microstructure imaging with magnetic resonance imaging

of MRI and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and neuroscience), and computer science (data analysis, machine learning, and artificial

Doctoral scholarship holder artificial intelligence for renewable energy

in Python, machine learning, and deep-learning tools (e.g., TensorFlow, PyTorch). You can speak and write fluently in English. Prior expertise in renewable energy (solar and wind energy) is an

PhD position in Artificial Intelligence for Renewable Energy

to quality, integrity, creativity, and cooperation. You are fluent in Python, machine learning, and deep-learning tools (e.g., TensorFlow, PyTorch). You can speak and write fluently in English. Prior expertise