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English-language skills are required, as the working language of the project is English. Good data analytical skills is considered an added advantage. Since you are to become an active member of the department’s
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, bioinformatics, statistics, computational epidemiology, or a related discipline. Affinity with OMICs data analysis is valued, and any experience with Large Language Models is considered valuable. You have
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). Additional highly desired qualifications include: affinity with advanced statistical modeling and a programming language such as R, Matlab or Python (or an ambition to learn to code); special consideration
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the Netherlands and a second country that will be determined together with the PhD candidate based on scientific relevance, the candidate's interests and language skills. This project will apply a mixed methods
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reflects on the role of language in perpetuating as well as resisting eco-violence. Position 2: Images of Eco-violence This subproject will focus on the aesthetic, political, and affective dimensions
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Benefits We offer: a world class academic environment where English is the main language and where you receive academic training in our Molecular Life Sciences Programme; a supportive environment with a
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The rapidly evolving field of AI offers promising solutions to the literature screening challenge using machine learning models, like active learning, and, very recently, large language models (LLMs). However
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to the literature screening challenge using machine learning models, like active learning, and, very recently, large language models (LLMs). However, many of these AI-driven solutions emerge from tech companies
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to staff position within a Research Infrastructure? No Offer Description In this position you will combine deep learning and linguistics to study two critical shortcomings of state-of-the-art AI
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of the Dutch language (in both written and oral form); Experience in publishing, as lead author, at least one paper in a conference or in a high-quality, international peer-reviewed journal; Knowledge