469 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" positions in Belgium
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the opportunity to learn Dutch resp. English to the required standard. We offer full-time employment in an intellectually challenging environment. KU Leuven is an research-intensive, internationally oriented
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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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the domain of Professional Training & Development & Lifelong Learning at O2L, we are looking for a PhD candidate with an interest in adult education and lifelong learning. Specifically, you will contribute
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please contact Prof. dr. Maxi Udenio Castro, mail: maxi.udenio@kuleuven.be or Prof. dr. Jannik Matuschke, mail: jannik.matuschke@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel
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Monteagudo, mail: silvia.monteagudo@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60650420?hl=en Requirements Research FieldMedical sciencesEducation LevelMaster Degree
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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/2026/scientific-researcher-29
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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/ghent-university/2026/assistant
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the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/postdoctoral-researcher-… Requirements Research FieldArchitectureYears
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Intelligence (AI) and Machine Learning (ML) capabilities into distributed cloud-edge infrastructures to enable autonomous and efficient network/service management. The PhD candidate will investigate innovative