27 machine-learning PhD scholarships at Ghent University in Belgium

PhD Student

of the larger research groups at imec. Our major research areas are machine learning and data mining; semantic intelligence; multimedia processing; distributed intelligence for IoT; cloud and big data

PhD Student

machine learning team. Our team focuses on developing efficient machine learning algorithms for perception and control; with diverse applications in industry, robotics, remote sensing and agriculture. As

PhD Student

domains of clinical neurophysiology. Knowledge in the field of artificial intelligence deep learning and machine learning is highly appreciated. The candidate should be a collaborative, dynamic person who

PhD Student

of mathematical modelling, data analysis and machine learning or a strong affinity to learn Background in semantic data models is a plus Knowledge in modelling and integrated assessment of water and wastewater

PhD Student

theoretical and computer modelling. A performant model will allow a more realistic simulation of electrophoretic systems, widening our understanding of the phenomena and enabling the improvement of current

PhD Student electrokinetics in advanced configurations

theoretical and computer modelling. A performant model will allow a more realistic simulation of electrophoretic systems, widening our understanding of the phenomena and enabling the improvement of current

PhD Student

: structuring and processing the results obtained. Statistical knowledge is required (data mining, hierarchical cluster analyses, survival analysis, machine learning). Job profile You hold a master's degree

PhD Student

behaviours of many species systems as a consequence of the interactions between the individual species (agents). Currently, these methods are more and more combined with machine learning techniques. BIONAMIX

PhD Student

(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 modelling tools, and

PhD Student

(bachelor + master) in the European Union. You have a strong background in machine learning, including Natural Language Processing. You have excellent coding skills; hands-on experience in deep learning