58 parallel-computing-numerical-methods "DTU" Postdoctoral positions at Duke University
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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
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. Preferred: Experience with in vitro and in vivo electrophysiology, imaging, mouse behavioral assays, and histological analysis. Computational skills are a plus. Why Join the Yang Lab? A proven track record of
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applications in environmental health and ecology as well as working with motivating datasets to become familiar with the data structure, challenges and competing methods. This position requires a Phd degree in
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. Minimum Requirements: PhD or equivalent doctorate (e.g., ScD, MD, DVM) in psychology, psychiatry, neuroscience, biostatistics, bioinformatics, computer science, or a related field. Research background in
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so in ways that invigorate practices of free expression in the university. Documentary or archival approaches are preferred, but we are open to all methods and humanistic fields of inquiry. All
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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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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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Responsibilities will include developing next-generation genome engineering technologies for gene and cell therapy applications as well as functional genomics. In particular, you will focus on delivery methods
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computational social science or data science (broadly defined). This individual will help design, execute, and analyze a series of field experiments on a platform created by the Polarization Lab for scientific
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Physics, Astronomy, Astrophysics, Computer Science or a related field by the start date ● Strong background in observational or computational cosmology, large-scale structure, weak lensing or image