476 machine-learning "https:" "https:" "https:" "https:" "https:" "VIETNAMESE GERMAN UNIVERSITY" positions in Belgium
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perspective, including (but not limited to): machine learning and statistical learning computer vision and sensor-based data analysis natural language processing and large language models hybrid, interpretable
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in autonomous systems such as ground and aerial vehicles, and mobile robots. This includes: formulating and solving long-standing multiterminal information theory problems using modern machine learning
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: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/135595 Requirements Specific Requirements Highly motivated, independent organizational skills, with strong
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) alignment with IDLab research on flexible and deterministic networking at the University of Antwerp (https://www.uantwerpen.be/en/research-groups/idlab/research-areas/flexi… ) The selection committee reviews
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/impact, (iii) brief approach (models, data/testbeds), (iv) evaluation plan, and (v) alignment with IDLab research on flexible and deterministic networking at the University of Antwerp (https
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: Shape the future of immersive visual technologies through optical, computational, and machine‑learning innovation. We are a university research group at imec-VUB in Brussels, with expertise in optical
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the links. Questionnaire: https://forms.office.com/e/4ttu1GtVmu Academic dossier : https://www.fundinginstitutional.com/opportunities/9000002408 (please upload this document under ‘Degrees and Certificates
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the links. Questionnaire: https://forms.office.com/e/206EF9c20u Academic dossier : https://www.fundinginstitutional.com/opportunities/9000002408 (please upload this document under ‘Degrees and Certificates
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with both experimental research and simulation software. You possess strong technical knowledge, expertise, and hands-on experience in the field of electric machines. Additional knowledge of power
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Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic