28 machine-learning PhD positions at Ghent University in Belgium

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 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 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 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

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 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 Electronics and Information Systems

computer power. Depending on the interest of the candidate, the student will work on one of the following topics: Developing new methods for simulations of drug transport through cell membranes, building up

PhD student

such computational methodologies exist, new fundamental developments are needed to understand the ‘time’ aspects and to make the computations feasible with present-day computer power. Depending on the interest