93 machine-learning-phd 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

PhD position in explainable machine learning for reproductive medicine

fundamental knowledge of, this domain. Be sure to mention in your motivation letter any knowledge of (or previous experience with) the machine learning research topics of the PhD project as detailed in

PhD position in computational neuroscience and machine learning

. NERF is a joint research initiative by imec, VIB and KU Leuven. The project We are looking for a PhD candidate interested in developing machine learning methods and applying them to neuroscience problems

PhD position | Exploring 2D Material Performance and Variability through Advanced Data Analytics in Electron Microscopy

machine learning is desirable LanguagesENGLISHLevelExcellent Additional Information Selection process Read the PhD Admission Requirements Choose your topics and look up the reference codes (2023-001). You

Development of model reduction framework of multi-physical acoustics VAMOR DC1

learning approaches  and/or with the basic principles of Model Order Reduction or I have a profound interest in these topics. ·         As a PhD researcher of the KU Leuven LMSD division I perform research

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

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

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