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knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the opportunity to publish novel
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protein design tools. Careful documentation of all findings, formal research reports and presentations, and participation in group equipment/facility maintenance is also expected. Basic Qualifications
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use tools from engineering, epidemiology, and environmental health microbiology to investigate the problems affecting low-income individuals and aim to improve public health in the communities where
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— investigating how mechanical forces from focused ultrasound alter immune cell function and tumor microenvironments Acoustic tool development — designing next-generation transducers, wearable ultrasound devices
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required for enzyme production and engineering, synthesis of substrates and product standards, high throughput screening of enzyme libraries, and application of computational protein design tools. Careful
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bioinformatics tools for integration of multi-omics and gene regulatory networks. The long-term research goal is to answer the key scientific question “How non-coding genetic variant act through context specific
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knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the opportunity to publish novel
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or interest in the use of artificial intelligence, machine learning, or computational tools in behavioral and experimental economics is appreciated. Strong emphasis will be placed on demonstrated research
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with omics data analysis, biostatistics, and image analysis tools. Strong programming skills (R, Python) and knowledge of relevant databases and pipelines. Candidates with peer-reviewed publications
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working experience with healthcare data (e.g., EHR, clinical text, imaging, omics). Proficiency in Python and ML tooling (e.g., PyTorch, scikit-learn), version control (Git), and experiment tracking (e.g