109 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Ghent University
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encouraged to apply for this position. For more information about this vacancy, please contact prof. Nele De Belie (nele.debelie@ugent.be ). Where to apply Website https://academicpositions.com/ad/ghent
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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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, 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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Platform Faculty of Arts & Philosophy http://research.flw.ugent.be/ Expertise database of the Ghent Africa Platform For an overview of Ghent University expertise on Africa and current project with African
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: *Extensions of the eligibility period are possible based on documented absence for parental leave, long-term illness, military service or clinical training. Check the ERC Work Programme on the ERC website
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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
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research. You have an affinity with both experimental research and simulation software. You possess strong technical knowledge, expertise, and hands-on experience in the field of electric machines