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pathology, bioinformatics, comparative evolution and other areas. You will also have opportunities to attend scientific conferences for presenting the research results and establish collaborative networks
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to apply. Responsibilities* The successful candidate will: Work closely with an integrated experimental, computational, and data-analysis team at the University of Michigan. Develop and apply graph/network
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transfer. Perform mesh-convergence, sensitivity, uncertainty, and model-verification analyses. Compare computational predictions with phantom, preclinical, and other experimental measurements. Analyze
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distributed sensing technologies. The role will focus on distributed acoustic sensing on pre-existing telecom fiber networks, mobile sensing using vehicle fleets, multi-modal data fusion, and structural system
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(generally July or September). Please direct questions and send all application materials via email to [email protected] . Job Summary The fellowship program aims to train fellows to conduct impactful
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are derived from plant breeding, genomics, quantitative genetics, physiology, biotechnology, computational biology, and horticulture. You will be encouraged to establish robust collaborations with faculty
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related discipline; The candidate must have 4+ years of research experience in social media mining, computational modeling of social science theories, working with social network analysis tools, and
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status and have privileges to apply for external grants to expand their research program. The Fellows will have a strong support network and opportunities to build a highly interdisciplinary and
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candidate must have at least 1+ years of research experience in social media mining, computational modeling of social science theories, working with social network analysis tools, and examining cyber
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related discipline; The candidate must have 2+ years of research experience in social media mining, computational modeling of social science theories, working with social network analysis tools, and