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Field
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(depends on work experience, quality of work and evaluation) Five weeks of vacations, five sick days, and a wide range of benefits (subsidized meals, language courses, pension insurance, Multipass). Small
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through
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machine learning, language modelling, computer vision, or applied AI. Familiarity with large, complex datasets and prototyping tools. Experience in successful grant writing. Why Join Us? This is a unique
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approaches to legal interpretation (see https://solid-symposium.github.io/2025/ for examples of interdisciplinary research in this space). We seek candidates with a Ph.D. in Linguistics, Computer
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, linguistic or cultural background, or minority group. About us The Faculty of Medicine promotes high quality scientific research. It provides research-based undergraduate and postgraduate education in medicine
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to continuously learn with critical thinking and explore new ideas while collaborating with a team Language Skills: Fluent written and verbal communication skills in English are required. French, German or
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language models (LLMs), generative AI, and cancer informatics. Projects may include training and fine-tuning domain-specific LLMs for clinical document summarization, treatment recommendation reasoning
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academia or industry, or other activities. An inquisitivce mind-set with a strong interest in exploring new ways of experimentation Good language skills in English (the professional language of communication
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transcriptomics. You possess strong programming skills in Python, R, or another relevant language. Your experience includes working with bioinformatics tools and databases, as well as multi-omics data integration