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evaluation of LLM-based information extraction methods, analyze large-scale dietary datasets, and help advance computational approaches for ecological synthesis. The Postdoctoral Researcher will conduct
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AAU research university, ranked among the top 10 U.S. public universities (U.S. News & World Report, 2027). The Department of Physics hosts a large condensed matter and quantum information community
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. Ongoing projects leverage large-scale multimodal clinical data, including electronic health records (EHRs), medical imaging, genomics, wearable devices, and unstructured clinical text, to develop novel
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, and radiation. Research activities would include contributing to experiments using the Europa Tower (Stone Aerospace Facility) to provide cryogenic temperatures, hard vacuum, a large ice column, and
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in statistics, data science, business analytics, sports analytics, operations research, computer science, or a
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applications for a fully funded postdoctoral associate position. This position, available immediately, focuses on developing machine learning and deep learning methods for analyzing large-scale single-cell DNA
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) Cleaning and managing large datasets from administrative data sources or online learning platforms Causal machine learning (e.g., double/debiased machine learning (DML), causal forests, generic ML) Learning
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)-statistics, (applied) mathematics, or a related STEM field. Prior working experience with EHR data, machine learning, NLP, bioinformatics, and large language models (LLM) is preferred. In particular
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, epilepsy, and others. The postdoctoral researcher will contribute to building a large-scale foundation model from brain MRIs and neurobehavioral data and deploying these models for a variety of real-world
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Preferred: Prior working experience with EHR data, machine learning, deep learning, imaging informatics, and large language models (LLM) is preferred. Prior working experience with popular ML packages, e.g