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Field
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-edge natural language processing, knowledge graph techniques, provenance and art historical understanding, museum and archival processing, fine-tuning language models and other AI models, data
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would have an educational background, prior research or work experience on Natural Language Processing, Machine Learning, and/or Explainable AI. Our group and research -- and what do we offer? The
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-lingual natural language processing, social media/big data analytics, network science, or longitudinal modeling are strongly encouraged to apply. Expectations and key responsibilities The Postdoc(s
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clinical settings. The postdoctoral associate will contribute to methodological development and applied research in machine learning, statistical modeling, natural-language processing, epidemiology
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 22 hours ago
, computer vision, and natural language processing. You will have the opportunity to boost your career development and training, read more here . Post-docs receive highly competitive salaries and other
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 6 hours ago
to characterize who develops immune toxicity and how these events evolve over time. Develop projects aligned with your expertise, including computational phenotyping using natural language processing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
position) a PhD in Computer Science or EE/ ECE on a topic in machine learning applied to natural language processing, computer vision, or a related area. Required Qualifications, Competencies, and
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natural language processing methods for analysis of unstructured clinical and biomedical data. 4. Experience with cloud-based and high-performance computing environments to support scalable data
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awareness of privacy, security, and research compliance when working with health-related data a strong research record in AI in medicine, especially in natural language processing (NLP), large language
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investigating how different brain networks (language network and domain-general multiple demand network) support language processing in persons with aphasia Evaluate how intensive language therapy