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Field
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, enabling enhanced reasoning, adaptability, and performance in real-world scenarios. The position is embedded within the Information Retrieval Lab (IRLab), under the supervision of Maarten de Rijke. It is
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community). What we ask of you We are looking for enthusiastic and curious candidates who meet the following profile: A PhD in AI, preferably at the interface of information retrieval and machine learning
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Are you fascinated by a future where generative AI models fully comply with the specifications and the requirements of the systems that use them? We are excited to offer a postdoc position, which is
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) Positions Postdoc Positions Country France Application Deadline 15 Oct 2025 - 17:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week 37h30 Offer Starting Date 1 Jan 2026 Is the
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you fascinated by a future where generative AI models fully comply with the specifications and the
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ghent University Global Campus Ghent
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A postdoctoral position is open in
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the Job related to staff position within a Research Infrastructure? No Offer Description The LIG brings together nearly 450 researchers, lecturers, PhD students and research support staff. They belong
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, multimodal modelling) focusing on the complete spectrum of human communication channels. It aims to understand how women and men remember about their time in Nazi concentration camps, as well as the way memory
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. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval