205 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" uni jobs in Belgium
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interdisciplinary research project at IDLab-MEDIA (https://media.idlab.ugent.be/ ), UGent – imec, aimed at advancing the state of the art in motion capture, sensor fusion, immersive media, and 3D computer vision
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exploring several emerging use cases of next generation wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom The successful candidate is
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within the CVAMO Flanders Make Lab at Ghent University. The project focuses on developing machine learning models to predict manufacturability and manufacturing effort directly from CAD geometry
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European cities. The project explicitly embraces a broad AI perspective, including (but not limited to): machine learning and statistical learning computer vision and sensor-based data analysis natural
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physical principles into the learning process to maintain physical consistency outside the training domain. This PhD research is envisioned to result in a breakthrough in the application of machine learning
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, collaborative science Experience with tools for qualitative and quantitative analysis; experience and practice with machine learning and Artificial Intelligence are also considered assets Language requirements
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, incorporating transient tribological changes. Creating machine-learning-based surrogate models to enable rapid efficiency and lifetime predictions under realistic operating conditions. Validating the developed
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professors, 2 postdoc researchers, and about 20 PhD students. The research for these PhD positions will be conducted in the System Software team, headed by prof. Bjorn De Sutter (https://users.elis.ugent.be
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(4 years), likely in cooperation with external partners (academic and/or industrial). You work on AI (i.e., analytics, modeling, machine learning) for energy applications, mostly focusing on
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estimates an appropriate price (pricing/revenue management). This is done through machine learning and data analytics techniques, making use of historical and product attribute data. Market-based valuation