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of the UMC Utrecht is seeking an enthusiastic and ambitious PhD candidate. In this project, you will focus on developing, validating, and applying fine-grained natural language processing (NLP) and large
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position in the area of Natural Language Processing starting as soon as possible. Your responsibilities Research & development projects in the area of NLU and NLG Contribution to teaching on Bachelor’s and
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), predominantly in development of agentic systems and natural language processing tools for areas such as digital lexicography, analysis of historical newspapers, production of semantic data and evaluation datasets
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. The time limitation of the contract is based on the Wissenschaftszeitvertragsgesetz (WissZeitVG). ISAS collects and processes the personal data of its applicants in accordance with European and German legal
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Adrian Svendsen Bensvik 1st June 2026 Languages English English English Faculty of Biosciences and Aquaculture (FBA) PhD in marine nature conservation and fisheries Apply for this job See
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your work can shape the sustainable production technologies of tomorrow – this opportunity is for you. At DTU, you will push the boundaries of what is possible in polymer processing and natural fibre
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interdisciplinary research and willingness to engage with both natural and social science perspectives. You have good communication skills in English (spoken and written). We recognise that each individual brings a
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Leibniz Institut für Naturstoffforschung und Infektionsbiologie | Jena, Th ringen | Germany | about 14 hours ago
microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human diseases (e.g., Zhang et al., Nature Microbiology 2025; Li et al., Nature Metabolism 2024; Ni et al., Cell
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Nature Restoration Regulation (NRR), what is needed to address the needs and values for individual private forest owners, and opportunities for connecting multiple human and environmental goals across
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within a Research Infrastructure? No Offer Description How we measure and define performance shapes the systems we build. Current Natural Language Processing (NLP) benchmarks often prioritize leaderboard