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: Engineering / Biomedical Appl Deadline: none (posted 2025/06/16) Position Description: Apply Position Description Chory Lab Seeking Postdoctoral Associate (Automated Evolution postdoc) This postdoctoral
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. Occupational Summary Conduct independent research activities in the field of aging under the guidance of a faculty mentor for the principal purpose of developing the individual's research skills for his/her
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(SciML) as part of a new NIH-funded Center for Excellence in Multiscale Immune Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed
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cultured cells and animal models of skin diseases. Work Performed • Development of new and implementation and modification of existing experimental procedures. • Data preparation for oral presentations
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collaborative experiments to investigate chromatin assembly behind the replication fork and/or chromatin dynamics during DNA repair. You will have the opportunity to develop expertise in genomics, computational
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address questions on bacterial responses to antibiotics, the implications of horizontal gene transfer in community dynamics and evolution, predictive assembly of complex microbial communities, and
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questions that lie at the interface of organic chemistry and chemical biology. The candidate will develop new chemical methods and small-molecule based probes to advance understanding of important biological
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repository, organizing PECAHN meetings, and developing and assisting with cross-site research projects. Both positions will require self-direction and the ability to work effectively with other team members
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the field of mathematical biology, with focus on cell and developmental biology. The position will be funded by Dr. Veronica Ciocanel, who holds a primary appointment in Mathematics and a joint appointment in
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. Occupational Summary The David Lab at Duke University (www.ladlab.org ) is recruiting a postdoctoral fellow to join an established research group developing and applying DNA sequencing and computational