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has already demonstrated significant promise in operational settings and will now be further developed and validated to support large-scale commercial deployment. The project focuses on improving
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drugs, and related ontologies. • Design components of the AI pipeline for enrichment and reasoning over technical life sciences data using large language models (LLMs). • Manage the storage and retrieval
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experiments, data analysis, and interpretation are required. Basic knowledge of working and analyzing large data sets, such as bulk and single-cell transcriptomics, is highly desired. Others: Candidates, with
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research objectives and proposals for own or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret data Apply knowledge in a way which
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the application of analytic techniques to longitudinal or large mental health data sets or biobanks a strong applied research orientation with a proven ability to build successful working relationships with a
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to individual variation in brain structure and function across development and ageing, and in neuropsychiatric disorders. The research will integrate human neuroimaging with genomic and epigenomic information
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join a large existing cohort of leading researchers on Fellowship programmes at the Mathematical Institute: https://www.maths.ox.ac.uk/people/research-fellowship-programmes/hooke-and-titchmarsh
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research on shipping and port operational optimization, maritime decarbonization, data analytics, and the development and application of novel methodologies (including LLM-based prediction and optimization
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), if applicable. A Research Statement (1-2 pages) highlighting your AI background and vision for human-agentic teaming in complex physical systems. Contact information for three professional references. Who We
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 21 hours ago
, you will learn how to: Describe the role of consumer studies in the FDA's OTC drug approval process and explain why large volumes of verbatim data present challenges for regulatory review. Identify