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Field
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expertise in large language models, foundation models, or modern AI systems and they will possess sufficient specialist knowledge of LLMs, foundation models, deep learning, NLP, mechanistic interpretability
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About the Role We are seeking a Postdoctoral Research Associate in Machine Learning for Cardiovascular Digital Twins to join a team working on the Precision Health, Cardiovascular Devices and Trials
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Position Details Position Information Job Title Postdoctoral Scholar Position Number THCAS-DEEP-PDS-FALL26 Vacancy Open to All Candidates Department AAH Earth Environment and Planning Department
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The Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (Berkeley Lab) is seeking a Postdoctoral Researcher – Scientific Machine Learning & Computational
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environments; (2) identify which patterns of student-AI interactions influence the adoption of deep or surface approaches to learning; (3) create, implement and evaluate guidelines and knowledge base
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About the Role We are seeking a Postdoctoral Research Associate in Machine Learning for Cardiovascular Digital Twins to join a team working on the Precision Health, Cardiovascular Devices and Trials
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-year Postdoctoral Research Associate (PDRA) for the Leverhulme Trust-funded project "Literacy in the Digital Age," led by Dr Yaling Hsiao. Investigating how children aged 11–14 learn across print and
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Equation, Stochastic simulation algorithms, and approximation methods. ● Experience with single-cell or spatial transcriptomic data analysis. ● Familiarity with machine learning and deep learning
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and deep learning methods for large-scale genomic, clinical, and imaging biobank data, with stable multi-year NIH support. The Zhi Laboratory has a sustained track record of methods development
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, extract, and standardise functional information 2. Develop computational tools that integrate evolutionary and functional information using comparative genomics and deep learning approaches 3. Apply