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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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the ability to work together with colleagues and teach and mentor students from diverse backgrounds and perspectives. To apply, candidates should submit a cover letter, curriculum vitae, and contact information
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) This postdoctoral fellow will focus on evolving and characterizing next-generation therapeutic proteins using the lab’s high-throughput phage-assisted continuous evolution (PACE) platform. Their work will contribute
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completion of a research project in the form of publications. Ability to work independently; interpret, present and discuss experimental data. Excellent communications skills Other Requirements: The candidate
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the Interpretable Machine Learning Lab (https://users.cs.duke.edu/~cynthia/home.html ) for a scientific developer to work in collaboration with other researchers on machine learning tools that help humans make better
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testing. We work with myoblast cell culture in 2D and myobundle culture in 3D. Biochemical (qPCR, western blot) and histological techniques are also employed. As a clinician scientist, Dr. Covert’s goal is
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. Duke School of Medicine’s interdisciplinary Duke Molecular Physiology Institute (DMPI), is looking for two student assistants for Dr. Jon Campbell’s lab. Work hours will be Monday – Friday 9am – 5pm
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candidates will possess excellent oral and written communication skills with the ability to work in a highly collaborative team environment. Be Bold. Position Description: HLA-E-VL9 antibody in gnotobiotic
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, environmental engineering or a related field, have an excellent academic record, and work well in a collaborative research environment. A background in materials science/engineering/chemistry, environmental
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. The Yang Lab at Duke University is seeking a motivated postdoctoral fellow to carry on exciting projects focusing on membrane transport biology. The postdoc will work in a dynamic, interdisciplinary