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offer visa sponsorship for this role. Candidate requirements Essential Skills in programming, preferably in Python, and a suitable undergraduate / masters degree in the discipline of Computer Science, NLP
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for semantic search, interpretation summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications. The project incorporates advanced NLP models, in-context
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for semantic search, interpretation summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications. The project incorporates advanced NLP models, in-context
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for semantic search, interpretation summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications. The project incorporates advanced NLP models, in-context
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Language Processing (NLP)—including model development, fine-tuning, or evaluation—will be given special consideration. Preference may also be given to candidates who have: Demonstrated research experience in AI
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prediction, therapeutic target identification, and precision therapeutics • Developing predictive models, knowledge graphs, NLP/LLM applications, and AI-enabled analytic frameworks • Leading manuscript
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in one) will be a plus. Background in statistical learning, data analysis, or cybersecurity. Programming skills Proficiency in English [Optional] Experience with NLP or text analysis [Optional
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Job related to staff position within a Research Infrastructure? No Offer Description How we measure and define performance shapes the systems we build. Current Natural Language Processing (NLP
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plus Proficiency in at least one major programming language, such as Python, is expected Familiarity with deep learning frameworks and modern NLP toolkits is an advantage Motivation to publish research
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historical corpora. You will test whether these patterns are universal and build a robust open-source pipeline, and join an interdisciplinary team combining semantic representation, multilingual NLP, and