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Show all breadcrumbs Postdoctoral Associate Position on Blockchain and Machine Learning in the Dr. Kuo Lab at Biomedical Informatics and Data Science, Yale University Tuesday, April 8, 2025
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non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory grammar. Responsibilities
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, machine learning and deep learning methods, and the responsible conduct of research. Training: The candidate will receive training in implementing advanced machine learning and deep learning models, and NLP
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will use causal machine learning and other statistical methods to understand how treatment effects vary across individuals, populations and over time. Methodological work will address real-world
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a PhD, MD, or MD/PhD (or related field such as genetics, genomics, computational biology, biochemistry, machine learning, population genetics, or evolutionary biology). The lab is multi-disciplinary
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. More information of the lab can be found here: https://clinicalnlp.org/ (Link is external) . Qualifications and Skills: • A PhD in computer science, information science, informatics, biomedical
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databases, design and analysis of virus-derived RNA libraries, and development of machine learning models for detecting functional elements in viral metagenomic datasets. This project is a
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, machine learning, research methodology, responsible conduct of research, scientific communication, and the translation of computational models into clinically meaningful tools. Individual development
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, and Economics. We are particularly interested in candidates with a research focus on algorithms, blockchains and cryptocurrency, causal inference, game theory, learning, machine learning, market
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, multiple machine‑learning algorithms, MOFA and multi‑omics pathway analysis. · Strong background in experimental design, quantitative data analysis, and scientific writing, evidenced by first-author