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for many domains: models for text (Large Language Models) and vision models are certainly the most popular at the moment. A more recent development is the emergence of foundational models for more
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the use of (multi‑modal) Large Language Models (LLMs) and other AI techniques to support the automated generation and adaptation of DWIs from DPP data. This research will explicitly assess which types
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suited to a university environment. A good command of English is required, and KU Leuven provides training in academic English. The official administrative language at KU Leuven is Dutch. If you do not
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interaction with Dutch-speaking stakeholders. If Dutch is not your native language, a minimum ERK level C1 is required. Experience with quantitative data analysis, surveys, experiments, or consumer research is
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in research projects, extracurricular training, mobility, other qualifications or relevant skills. • Certified copy/ies of Academic Degree/s in the original language along with a certified translation
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language. This specification is first translated into a low-level specification a solver understands and subsequently solved. Thanks to tremendous progress in solving technology, we can now solve a
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declarative problem description and automatically compute an optimal solution to it. Often, users specify their problem in a high-level, human-understandable formal language. This specification is first
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, education, work experience, prizes/awards, language skills, etc,...) •Official academic transcript of BSc. and MSc. studies •Motivational letter describing research career goals, skills and experience •Full
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communication and organizational skills and are a team player. Your written and spoken English is excellent. The official administrative language used at KU Leuven is Dutch and the language of instruction for