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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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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
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or equivalent Occupancy rate 100% Vacancy type Research staff Job description PhD position: Spatio-temporal machine learning - About the research unit The research unit KERMIT (Knowledge-based Systems, https
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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
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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
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computing and multimedia processing, machine learning, artificial intelligence and web semantics. IDLab has a unique research infrastructure used in numerous national and international collaborations. IDLab
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Job description Phd position Surrogate modeling and Machine Learning for science and engineering IDLab - imec, Ghent University, Belgium IDLab is a core research group of imec, a world-leading
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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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grey or hybrid machine learning. This PhD research is envisioned to result in a breakthrough in the application of machine learning methods to fire engineering problems, by ensuring compatibility with
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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