18 machine-learning-phd positions at University of Antwerp in belgium

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 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 medical image processing and analysis using deep learning

and defense of a PhD thesis on the topic of medical image analysis using machine/deep learning. Profile You have a Master's degree in Computer Science, Engineering, or Mathematics (or related) or you

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

Graduate teaching & research assistant data science

Mining and you provide high-quality academic education. The educational support concerns 'Data Science', for courses such as 'Machine Learning', 'Data Science and Ethics' and 'Data Engineering'. Your

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

Doctoral scholarship holder objective and subjective assessments of the urban soundscape

data analyses, Machine Learning (using Python), and/or listening tests is considered a bonus. What we offer We offer a doctoral scholarship for a period of two years. Following a positive evaluation, the

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 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

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