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. The Department of Biostatistics and Bioinformatics at Duke University is seeking a Postdoctoral Associate to join our research team. In this role, you will collaborate with investigators within and
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health, health disparities, causal inference, and real-world evidence. You will play a major role in the NIH-funded AMEND (Ascertaining Multilevel Drivers of Head and Neck Cancer Disparities) R01 study
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for immunotherapy response Neoantigen and vaccine immunology T-cell biology, immune repertoire analysis, and functional immune profiling Integration of multimodal clinical trial datasets using computational and
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work at the intersection of systems neuroscience, neurophysiology, imaging, and computational analysis to uncover how motor cortical circuits support learning and memory. Be You. You will contribute
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stereoelectroencephalography (SEEG) data, intracranial stimulation techniques, and multimodal clinical datasets. This role offers the opportunity to conduct independent research, collaborate across disciplines, and contribute
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orbitrap high resolution mass spectrometry. Other duties will depend on the Scholar’s prior experience but may include sample analyses, data analysis, or supervising and mentoring students. Work Performed
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) Evaluate the implications of these associations for extraction processes; and 3) Assess the critical mineral resource potential of unconventional wastes through geospatial and statistical analysis of supply
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research team dedicated to advancing our understanding of migraine, pain mechanisms, neuroimmune interactions, and nervous system function. Your expertise, curiosity, and commitment to scientific discovery
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related fields.MD/PhD with molecular biology research experience. Experience/Training: Must have experience with analyzing omics data. Familiarity or direct experience with analysis of 10x Genomics data
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projects aiming to dissect the role of lipid metabolism in environment-induced cardiorespiratory diseases. The main duty included performing sample analysis using HPLC and HPLC-MS-MS, conducting data