117 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Ghent University
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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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supervise research projects and acquire the necessary funds from competitive research funding channels: you have demonstrable experience in writing grant proposals; having an adequate understanding
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and supervise educational and research projects and to acquire the necessary funding for this; you are didactically skilled to teach university students to develop academic competences; international
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University, the study of Latin literature, alongside Ancient Greek and several modern European languages and literatures, is housed within the department of Literary Studies. We teach Latin literature from
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, but apply online. Do you have a question regarding the online application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad
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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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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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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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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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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