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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 18 hours ago
language processing (NLP) to automate FDA’s review of these qualitative responses, potentially providing both more accurate and efficient review of consumer data. Learning Objectives: Under the guidance of a mentor
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skills, including statistical analysis using R, Python, SPSS, Stata, or equivalent software. • Experience with computational social science methods, including NLP, machine learning, LLMs, social media
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the programme’s ethical dilemmas and scaffolding strategies with KCL students as well as online participants, working closely with the Centre’s NLP PDRA and Prof Yulan He (KCL Institute for AI) on the technical
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for SOZO users. This work intersects with the Nunez Lab's expertise in clinical NLP, generative AI, and retrieval-augmented generation applied to healthcare and life sciences. RESPONSIBILITIES Reporting
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, and be highly proficient in Python, Large-Language Models and Natural Language Processing. Qualifications • PhD in Computer Science, especially in the context of NLP. • Coding
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will join Prof. Annika Schoene’s research group (https://meronymlabs.com/) in Charlotte, North Carolina, and contribute to research at the intersection of NLP methods, AI safety, and high-risk
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managing social media datasets and metadata from the 2020 and 2024 US Presidential elections and the 2024 UK General Election. Designing, implementing and evaluating NLP and machine-learning approaches
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managing social media datasets and metadata from the 2020 and 2024 US Presidential elections and the 2024 UK General Election. Designing, implementing and evaluating NLP and machine-learning approaches
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practical experience applying AI and/or NLP tools, such as conversational agents in research or applied contexts, alongside strong analytical skills. Candidates should have experience of designing and
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the programme’s ethical dilemmas and scaffolding strategies with KCL students as well as online participants, working closely with the Centre’s NLP PDRA and Prof Yulan He (KCL Institute for AI) on the technical