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work with graduate students and help them with their experiments. This position is funded by NIH. DEFINITION: The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM
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Kannawadi, Dan Scolnic, Michael Troxel, Eve Vavagiakis and Chris Walter, working on current and next generation experiments, including CCAT, CMB-S4, the Dark Energy Survey, Hyper-Suprime Cam Subaru Strategic
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drivers and other disease vulnerabilities. Educational Requirements: Doctorate (MD, PhD, VMD, or DDS) in area directly related to field of research specialization required. A candidate who has experience
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microbial community behaviors. We seek to understand and engineer the spatiotemporal behaviors of biological networks using tools from systems and synthetic biology. A major goal is to design novel strategies
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for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
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and non-invasive neurostimulation. The strong interdisciplinary and collaborative environment at Duke is ideal for our multi-scale modeling research efforts. An earned PhD and previous experience in
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, including development of new computational tools for processing large-scale biospecimen data Creation of novel machine learning frameworks for automated scientific analysis and discovery Design and
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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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Health Program (ITEHP) , is pleased to announce two T32-supported postdoctoral positions, available immediately. The positions will remain open until filled. These are unique positions explicitly designed
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methods to compare the new designs and techniques with existing ones in binary, continuous, and time-to-event outcomes. The Postdoc Associate will help develop R/SAS software for the proposed statistical