20 computational-materials-science Postdoctoral positions at University of Washington
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) biomaterials, soft lithography, and hydrogel synthesis, and (c) cell culture and molecular cell biology assays. The successful candidate is expected to publish papers in prestigious peer-reviewed journals and
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what is stated in the Required Qualifications section. Skills: Computational Sciences, Computer Programming, Mathematics Questions For frequently asked questions about the application process, please
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. Department of Labor prevailing wage determination. Qualifications Applicants must have a Ph.D. in Statistics, Computer Science, Economics, Sociology, or related field. Instructions Applicants should submit a
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for this position. More About This Job A strong theoretical and or computational background is preferred, but no prior expertise in biology is required. Applicants should hold (or expect to receive by the start date
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About This Job Preferred Qualifications: Ph.D. in Electrical Engineering, Physics, Applied Physics, Biomedical Engineering, Computer Engineering, or related fields. Experience with Silicon photonics
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associated with prevalent and incident cognitive impairment. The ideal candidate is driven, independent, and able to apply engineering and computational techniques to enhance the performance of existing
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the NeuroGenomics and Informatics Center at WashU. We are dedicated to generating and analyzing whole-genome sequencing data along with high-throughput, multi-dimensional 'omics' data to advance our understanding
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techniques, applying computational neuroimaging, machine learning and fluid dynamics methodologies to interpret these complex datasets. They will work closely with a dynamic team comprised of neurosurgeons
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technologies in genomics and computational biology to investigate the development and function of mammalian brains in the context of human health and disease. Current areas of interest include applying single
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of Computational Plasma Physics and Fusion Science. Our research group develops high-fidelity physics models, implements novel computational algorithms to solve the models, and applies these computational tools