9 molecular-modeling-or-molecular-dynamic-simulation PhD positions at Duke University
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collaborative research investigating host–microbiome interactions and their impact on postnatal growth and metabolism in preterm infants. • Design, perform, and interpret experiments using mouse models, molecular
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. Being independent and able to interface with multiple work groups is critical. We use biochemical, proteomic, cell biology, molecular biology, genomic, epigenomic, and mouse model approaches and
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neuroinflammation and neurovascular interactions using mouse models and micro physiological systems. Some of these scientific questions span into characterizing molecular changes in the blood-brain barrier, glia
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to therapies and vaccines against human diseases. We are a team of highly interactive investigators that have expertise in immunology, molecular biology, virology, microbiology, structural biology, computational
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methodologies in collaboration with Dr. Suthana and interdisciplinary team members. · Apply advanced statistical and computational approaches to investigate neural dynamics underlying naturalistic behavior
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the context of critical illness. This position focuses on computational modeling of host-response mechanisms using high-dimensional multi-omics datasets. The fellow develops novel computational pipelines
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capacity-building training to investigators and their staff on qualitative interviewing and analysis. QualCore team members use a flexible approach to accommodate the dynamic nature of qualitative data
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through preclinical models to clinical trials within Duke and collaborating institutions We seek postdoctoral fellows with experience or knowledge in cellular immunotherapy, in vitro/in vivo imaging, and
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learning models, and willingness to learn about new methods, is a plus. · Strong programming skills in Python, and Linux Shell; experience in developing methods as open source repositories at e.g. GitHub is