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candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically
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isotopes in zircon Applications to chemical mochometry LanguagesROMANIANLevelMother Tongue LanguagesENGLISHLevelGood Research FieldPhysics » Crystal growthYears of Research Experience1 - 4 Internal
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skills in both English and Chinese; (d) have strong empirical research skills with expertise in causal inference methods (e.g., quasi-natural experiments, field experiments); (e) be proficient in big data
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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
or PhD (or equivalent) in Natural or Life Sciences (e.g., Biology, Chemistry, Bioinformatics, Geosciences, Biomedical Sciences, Biotechnology, etc.). Candidates about to obtain their degree are welcome
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Vector, Vue.js 3, Node.js, Python, and JSON; Natural Language Processing (NLP) applied to collections; implementation of data pipelines using AI models, embeddings (RAG), and OCR; demonstrated knowledge in
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Job advertisement HKI-14/2026 At the Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), we investigate the pathobiology of microorganisms and develop new natural
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technical contribution and/or preparing project deliverables Eventually, help in the supervision of PhD students For further information, please contact: Dr. Jorge Querol () / Dr. Turker Yilmaz () Your
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Organization (RTO) that drives innovation for the economy and society in Luxembourg and beyond. With cutting-edge expertise in Natural, Built, Industrial environments, Space, AI, Security and defense
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: Use quantum field theory to find how physical principles constrain the scattering of relativistic particles and better understand the fundamental forces of nature, specifically gravity and the strong
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research environment, in relation to two externally funded projects: ‘Natural-language Assisted Human-Multirobot Interaction and Planning’ (NAMUR) (DFF-Independent Research Fund Denmark) and ‘PERSIST