11 phd-machine-learning scholarships at University of Antwerp

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 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

faculty and university research policies . You act with attention to quality, integrity, creativity, and cooperation. You are fluent in Python, machine learning, and deep-learning tools (e.g., TensorFlow

PhD in deep learning

Programme? HE Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD research aims to develop deep learning-based methods for bias correction of climate model

Doctoral scholarship holder dynamics of climate extreme events

. Position You will work actively on the preparation and defence of a PhD thesis focusing on the analysis of extreme events using deep learning methods. Your responsibilities will include developing deep

Doctoral scholarship holder dynamics of climate extreme events

in the field of dynamics of climate extreme events. Position You will work actively on the preparation and defence of a PhD thesis focusing on the analysis of extreme events using deep learning methods

PhD fellow viral hepatitis and disease modelling

heterogeneous datasets. You explore machine learning methods to analyse time-to-event data. You will be involved in the bioinformatic analysis of RNA sequencing data of samples from a Belgian prospective study in

Doctoral scholarship holder Cracking and healing of bituminous materials

with optical (microscopy) measurement techniques, Machine Learning, and/or Finite Element Modelling is considered a bonus. What we offer We offer a doctoral scholarship for a period of two years