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agenda on multimodal and multilingual language models. The successful candidate will focus on the development of multimodal, multilingual resources and on the design and evaluation of methods that leverage
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We are looking for a highly motivated PhD candidate interested in AI-based methods, including machine learning and language technologies, for the integration and analysis of clinical, advanced data
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Large vision–language models (LVLMs) can describe driving scenes and support decisions [Li25], but they sometimes hallucinate objects, relations, or events that are not present [Liu24,Liu25]. In a
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usual way of working and the language of communication is English. Our current team members are spread across three universities (University of Luxembourg, Eindhoven University of Technology, and
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, including the ability to document methods and present results clearly. Language skills · Fluency in English, both oral and written. Other Luxembourg national languages are an asset. Your LIST benefits
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Intelligence, Computational Linguistics, Data Science, or a closely related field Strong programming skills, e.g., Python, and familiarity with machine learning and/or software engineering workflows; experience
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Experience with microscopy and image analysis Curiosity for interdisciplinary and multi-omics approaches Language Requirements: Applicants must demonstrate at least B2-level proficiency in the language of
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in interdisciplinary research bridging mathematics and environmental systems Ability to work both independently and collaboratively in an international environment Language Requirements: Applicants
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Knowledge of deep learning architectures, graph neural networks, or uncertainty quantification Familiarity with HPC environments Language Requirements: Applicants must demonstrate at least B2-level
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Language Models for Data-to-Text Problems” and involves the study of technical methods and approaches for adapting large language models to tasks mixing text and structured data, such as statistical report