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on cutting-edge research at the intersection of statistical modeling, artificial intelligence, and infectious disease epidemiology. This position focuses on developing and applying statistical, mathematical
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nanomaterials as imaging probes or diagnostic agents or drug delivery system and perform experiments to test the properties and performance of the prepared materials in cells, biospecimen samples and animal
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parameters; Previous experience in metabolomics and lipidomics highly desirable; Experience with long-acting antiviral agents desirable; Strong publication record during their PhD thesis; Draft scientific
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QUALIFICATIONS: - PhD in Ecology and Evolution, Virology, Bioinformatics, Computer Science or a related discipline - Demonstrated interest in computational analysis of biological data - Advanced coding skills
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and Skills 1. A PhD, ScD, PharmD, MD, or equivalent degree, with experience in clinical research, epidemiology, pharmacology, or related fields 2. Strong background in epidemiological/statistical
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human cancer based on their cancer driver gene mutations. A new project in the lab is aimed at understanding the mechanism of natural killer mediated anti-tumor effects in LKB1-mutant lung adenocarcinoma
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infection and explore strategies to enhance mucosal immunity. Using a combination of in vivo animal models and ex vivo 3D cellular systems, we study airway-specific immune mechanisms that influence
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specified by the Principal Investigator. NOTE: This role will be granted the opportunity to work from home regularly but must be able to commute to Emory University on a flexible weekly schedule based upon
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qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: A PhD or an equivalent degree in biochemistry, cell biology, neuroscience, or a related biology field is required. Experience in
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force‑responsive probes, DNA‑based sensors, or advanced microscopy to understand mechanochemical signaling in cells. Operate and innovate with state‑of‑the‑art optical, fluorescence, and force