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Grant and coordinated by the Principal Investigator (PI), Dr Federico Pianzola. This is an interdisciplinary project at the intersection of NLP, Digital Humanities, and Semantic Web technology. Millions
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or prior experience with multilingual or low-resource NLP Programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and their application in high-performance
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or prior experience with multilingual or low-resource NLP Programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and their application in high-performance
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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 LLMs
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. This position will work closely with faculty in AI, NLP, Ethics, and Anthropology to design and conduct empirical studies, develop novel evaluation frameworks, and advance methods that ensure AI systems
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. This position will work closely with faculty in AI, NLP, Ethics, and Anthropology to design and conduct empirical studies, develop novel evaluation frameworks, and advance methods that ensure AI systems
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. Investigate polypharmacy and multimorbidity in newly diagnosed patients with autoimmune rheumatic diseases. Contribute to studies utilizing natural language processing (NLP) to assess patient self-management
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: Essential criteria PhD in Natural Language Processing (NLP), Artificial Intelligence or a very closely related discipline. Strong research record in NLP as evidenced by publications in high quality journals
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: Essential criteria 1. PhD in Natural Language Processing (NLP), Artificial Intelligence or a very closely related discipline. 2. Strong research record in NLP as evidenced by publications in high
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language models (NLP) approaches 3) demonstrate the utilization of high-throughput transcriptomic approaches in collaboration with pivotal regulatory agencies, such as the European Chemical Agency (ECHA