24 machine learning positions in Belgium

PhD Position in Multimodal Machine Learning in Healthcare

of older persons. The candidate will also contribute to teaching activities related to machine learning or other areas depending on the candidate’s profile. Moreover, the candidate is a team player that

PhD student: Machine learning in plant regulatory genomics

RNA-Seq, ChIP/DAP-Seq protein-DNA interaction data, bulk, and single-cell ATAC-Seq) and the application of diverse supervised machine learning approaches (e.g., feature-based, deep learning, and

PhD position: Machine Learning & AI methods for solver acceleration and

within the IN-DEEP project you will be at the forefront of developingnew hybrid machine learning (ML) accelerated solvers. A fast-expandingarea of research is the application of ML techniques to predict

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

Accelerated deep learning approaches for vibro-acoustic digital twins VAMOR DC2

approaches to obtain a digital twin that is trained using both physics based metamodels/insights and measurements on the physical asset. To accelerate the training of the machine learning architecture, reduced

Junior/Senior Full Stack Software Engineer (m/f/x)

12 Apr 2024 Job Information Organisation/Company Université catholique de Louvain Department CBIO Research Field Engineering » Computer engineering Computer science » Systems design Computer

Call for the prestigious Marie Skłodowska-Curie Postdoctoral Fellowships

machine learning interatomic potential for crystal structure prediction of 2D halide perovskites. Requirements Research FieldEngineering » Materials engineeringEducation LevelPhD or equivalent Research

Professor in Electronic Design for Machine Intelligence

agenda that synergetically adds a hardware dimension to the AI expertise that is present at the STADIUS and e-Media research groups, which currently includes machine learning, signal processing

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