113 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Ghent University
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regarding the online application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2025/postdoctoral-researcher
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read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2025/researcher-diagnostische… Requirements Research FieldBiological
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about this vacancy, please contact Prof. Kim Van Tittelboom (kim.vantittelboom@ugent.be , +32(0)9/264 55 40). Where to apply Website https://academicpositions.com/ad/ghent-university/2025/doctoral-fellow
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online application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2025/post-doctoral-researcher… Requirements
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for this position. For more information about this vacancy, please contact Dr. Ir. Jordy Motte (jordy.motte@ugent.be ) or Prof Pieter Nachtergaele (Pieter.Nachtergaele@UGent.be ). Where to apply Website https
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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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• Interest/knowledge of statistics, computer science and/or machine learning • Interest in biology or molecular biology, microbial ecology • Proficiency in programming languages such as Python
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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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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