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fields, Ghent University is a logical choice for its staff and students. The IDLab Ghent research group is seeking a highly motivated and talented PhD student to join the distributed machine learning team
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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
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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
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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
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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
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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
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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
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: 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
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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
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(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