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Field
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statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor
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? The analysis will mostly rely on empirical methods, namely on the analysis of: Large-scale microdata sets, in particular, the excellent Danish micro-data; Experiments, both in the laboratory and the field; Other
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exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website . Required Qualifications: Completed PhD in biomedical engineering, electrical engineering
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research environment, comprising two full professors, one associate professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong partnerships with
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implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive
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laboratory techniques Thorough knowledge of population genetics/genomics Experience with the analysis of large-scale genomic data Demonstrated ability to summarize scientific findings in the form of written
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of large-scale infrastructure on fish connectivity and populations by advancing our understanding of critical ecological processes within these modified coastal seascapes. The project expects to generate new
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associations with socio-economic markers, health, gut microbiomes, and antibiotic resistance in large population cohorts and big data to help mitigate the global antimicrobial resistance (AMR) crisis. AMR is one
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personalized medicine. By integrating human cohorts, single-cell multi-omics technologies, and expertise in systems and computational biology, we generate high-profile research that bridges big data with