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Computer Science and Electrical and Computer Engineering departments, and the School of Medicine. The group emphasizes collaborative and multidisciplinary work and brings together expertise from machine learning
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. Responsibilities/Duties: · Perform biostatistics and bioinformatics for scRNA seq analysis. · Perform molecular, cellular, biochemical and immunological analyses · Optimize and troubleshoot experimental protocols
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with molecular biology and/or genomics/bioinformatics is strongly encouraged to apply. Applicants with other expertise will be also considered. The successful candidate will have opportunities to work
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. The position will be primarily based in the Department of Biostatistics & Bioinformatics, Duke University School of Medicine, under the supervision of Dr. Xiaofei Wang. The Postdoc Associate will also work
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multiple affiliations. Postdoctoral Associate – Biostatistics Duke University is seeking a successful postdoctoral associate in the Department of Biostatistics and Bioinformatics (www.biostat.duke.edu). Duke
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, you will focus on delivery methods for genome and epigenome editing tools. This will require expertise in molecular and cellular biology, molecular engineering, genetic manipulation, and bioinformatics
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, including Computer Science, Electrical and Computer Engineering and Music and will be expected to participate in the preparation of research proposals and scientific publications. The candidate will also be
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structures. 3) Characterize the dynamics, mechanism, and pathway of self-assembly process and the structural and mechanical properties of the obtained assemblies 4) Compare the computed properties against
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Associate will work closely with Dr. Salter (PI) and be involved in all aspects of the research process. Research conducted within SPARCL will focus on the bi-directional relationships between collective
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as