38 learning PhD scholarships at Ghent University

PhD Student Causal Machine Learning

-generating mechanism, integrating it with recent insights from debiased machine learning and causal inference. Besides laying foundations for a novel paradigm for causal/statistical modeling, this project

PhD student Causal Machine Learning

insights from debiased machine learning and causal inference. Besides laying foundations for a novel paradigm for causal/statistical modeling, this project seeks to enhance the robustness and efficiency

PhD Student - Department of Environment

, Agriculture Engineering (not agronomy), or Biosystems Engineering Basic knowledge in sensing technologies and measurement systems. Basic knowledge in machine learning, deep learning and/or data fusion and

PhD Student - Vakgroep Omgeving

and measurement systems. Basic knowledge in machine learning, deep learning and/or data fusion and modelling tools, and eager to learn about more advanced modelling techniques. User of engineering

PhD Student - Department of Data Analysis and Mathematical Modelling

, these methods are more and more combined with machine learning techniques. BIONAMIX is a team embedded in the department of data analysis and mathematical modelling in the Faculty of Bioscience engineering. We

PhD Student - Department of Biomedical Molecular Biology

, bioinformatics and machine learning, as well as high-throughput biology in the framework of gene regulatory networks. Our final goal is to use this knowledge in the development of novel preventive or therapeutic

PhD Student - Department of Biomolecular Medicine

analyses, survival analysis, machine learning). Job profile You hold a master's degree (preferably) in medicine, biotechnology, bioengineering, biomedical sciences, pharmacy or equivalent. Diploma

PhD Student - Department of Information Technology

Research staff Job description Vacancy: PhD position Deep Learning on Time series Data for Health Care ABOUT GHENT UNIVERSITY Ghent University is a world of its own. Employing more than 15.000 people, it is

PhD Student - Department of Data Analysis and Mathematical Modelling

task. You develop methods for aligning the ontologies to check for semantic, syntactic and structural heterogeneity. You will investigate the use of machine learning algorithms for automatic ontology

PhD Student - Department of Green Chemistry and Technology

framework to go beyond the state-of-the-art by incorporating learning effects for different sustainability dimensions, such as LCA (life cycle assessment), LCC (life cycle costing), and S-LCA (social life