62 phd-in-computational-mechanics-"St"-"FEMTO-ST" Postdoctoral positions at Duke University
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pathways and mechanisms underlying autoimmunity from a lncRNA and epigenetic gene regulation perspective. We utilize biochemical assays, tissue culture, mouse transplantation & disease modeling experiments
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/train other researchers in LCA tools, and develop independent research projects as desired. The successful applicant will possess a PhD in chemical engineering, chemistry, environmental engineering or a
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; (ii) an impact evaluation of a large-scale tree-growing program in Kenya, Tanzania, Uganda, and India; and (iii) an analysis of financial incentives for smallholder tree growing in Ethiopia. In
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settings associated with cancer, Alzheimer’s disease, and stroke. Applicants must: 1. Hold a PhD with relevant skillsets in ultrasound imaging; 2. Have excellent informal and formal written and oral
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. · The appointment is not part of a clinical research training program, unless research training under the supervision of a senior mentor is a primary purpose of the appointment. · The appointee works under
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Institute for Marine Science, NC State University’s Center for Marine Sciences and Technology, NOAA, and others. Qualifications A successful applicant will have earned a PhD in Ecology, Marine sciences, or a
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: Engineering / Biomedical Appl Deadline: none (posted 2025/03/04) Position Description: Apply Position Description The lab of Nimmi Ramanujam, PhD has an immediate position for a postdoctoral research
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advanced techniques in synthetic biology, genetic engineering of human gut bacteria, multi omics and high-throughput anaerobic bacterial culturing. Qualifications include a PhD in biology or engineering. The
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require self-direction and the ability to work effectively with other team members, undergraduate, graduate, and other post-doctoral researchers in the in lab. Candidates must have obtained their PhD in a
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control