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Field
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using R or Python and with strong command of advanced statistical methods, computational modeling, and/or NLP methods, is an asset. More Information Location: Singapore Organization: National University
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, generative AI, NLP, or algorithmic decision systems Ideal applicants will have a strong background in operations research, statistics, or computer sciences and the ability to work across disciplinary
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, Statistics, Psychometrics, Psychology or a closely related field) Experience Demonstrated experience in Natural Language Processing (NLP) and/or Item Response Theory (IRT) methods (essential) Demonstrated
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Science, Biostatistics, or a closely related area. Strong ML/deep learning foundation plus expertise in at least one of: multimodal learning, time-series modeling, or NLP. Demonstrated working experience
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technical/computational backgrounds (ML, NLP, AI safety, working with LLMs) as well as computational social scientists. The ideal candidate bridges these worlds or is eager to learn across them
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established a position for a Postdoctoral Researcher focused on work at the intersection of artificial intelligence and Responsible AI, NLP & IR 3.0, Health/Wellness, and/or Life Sciences. The Postdoctoral
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manage research datasets, including development of analytic workflows, REDCap data collection tools, algorithm development, and validation of NLP pipelines · lead the development of scholarly outputs
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research methods (e.g. survey, experiment), statistical analysis (e.g. regression, multilevel modeling, SEM), and computational techniques (e.g., NLP, data mining). Proven track record with publications in
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methods to biological problems Experience with database querying, management systems, and data extraction techniques for large datasets Knowledge of natural language processing (NLP) and/or large language
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the context of this scholarship include: - researching and understanding recent innovations in the field of natural language processing (NLP), LLMs and AI agents - researching methodologies for analysing and