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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
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-performance computing. Additional experience in DNA biophysics, machine learning, and optimization is preferred. This job description intends to provide a representative and level of the types of duties and
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independent research activities under the guidance of a faculty mentor in preparation for a full-time academic or research career. Work Performed DEFINITION: The Postdoctoral Appointee holds a PhD or equivalent
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regarding all facets of the Postdoctoral Appointee's research activities. Must hold a PhD Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's
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scientific meetings DEFINITION: The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency. A
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team to unravel the mysteries of membrane ion and lipid transport and their roles in various diseases. Minimum Requirements: PhD in biochemistry, biophysics or cell biology Preferred Qualifications
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independent research activities under the guidance of a faculty mentor in preparation for a full time academic or research career DEFINITION The Postdoctoral Appointee holds a PhD or equivalent doctorate (el gl
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theory, multi-objective optimization and machine learning. The specific project aims to understand the multiscale interactions shaping human gut bacteria and human gut pathogens. The project will combine
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utilize new machine learning methods for 3D behavior tracking and analysis. · Advise PhD students on related projects. Other Work Performed and Expectations · Document progress consistently and
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independent research activities under the guidance of a faculty mentor, Shyni Varghese, PhD, in preparation for a full time academic or research career. The job includes fabrication and characterization