74 postdoc-computational-physics "Data driven Materials Modeling" Postdoctoral positions at Duke University
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awarded a NIH U01 grant to develop new vaccine strategies that can induce antibodies in early-life capable of preventingHIV-1infection in pediatric populations. This computational immunobiology postdoctoral
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will lead the execution of the experimental plan, work on the design of the data analysis methods, and perform the appropriate computational analyses. You will perform literature searches and use them
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proteomics, transcriptomics, collected from state-of-the-art microfluidic lymph node on-a-chip systems used to study infection initiation and immune response. The postdoc will be co-mentored by
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. The postdoc will also play key roles in developing AI-use measurement techniques and experience sampling measures. This is an ambitious, fast-moving research program, and the position is well suited to a
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computational immunology as part of the NIH/NIAID-funded Multiscale Immune System Modeling (MISM) Center. The postdoctoral associate will contribute to and participate in meetings, workshops, trainings
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experimental systems, from cell lines to primary neurons to ex vivo brain tissue. The postdoc will be encouraged to develop a unique scientific identity within the broader project, lead publications, present
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sponsor the individual. The term of the appointment is limited (see Section 5 of the Postdoc Policy for length of appointment). The appointment involves substantially full-time research or scholarship, and
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5 of the Postdoc Policy for the length of the appointment). The appointment involves substantially full-time research or scholarship and may include teaching responsibilities. The Postdoctoral
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, Physics, Applied Mathematics, Computer Science, or a related area. Experience 0+ years of postgraduate experience. Skills The candidate must have excellent skills in conducting independent research and
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disorders, with a particular emphasis on glycogen storage diseases (GSDs), including GSD type II (Pompe disease). The postdoc will contribute to advancing understanding of the natural history of GSDs and