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. Particular emphasis to be placed on developing and applying emergent system identification and modal decomposition techniques as well as statistical analysis of large datasets. Candidate will disseminate
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expertise in educational and social science research methods, with a strong background in quantitative and/or qualitative analysis. Show evidence of experience in survey research, instrument development, and
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quantitative analysis, including management of behavioral and cognitive measures. Direct implementation of the AquOTic therapeutic protocol, delivering weekly evidence-based aquOTic sessions and conducting
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, geochemistry, and molecular microbiology and genomic analysis. Demonstrated experience measuring rates of microbial processes, and other microbiology laboratory equipment is required. Other required skills
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following qualifications and experiences: Experience with developing or applying ecosystem models (e.g., SWAT-Carbon, CLM, EPIC, DNDC, and DayCent) Experience with analysis of geospatial data and time series
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or related field with specialization in computational biology and statistics or related areas is required. Demonstrated experience in 3D morphometric analysis is required. Desired: Research interest
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clamp recordings, experience with mechanotransduction research, 3-D laser confocal imaging and co-localization analysis, snRNAseq analysis in tissues, and working with conditional knockout and transgenic
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PhD or equivalent degree required; Significant experience in behavior testing and bioinformatic data analysis is preferred. Requires successful completion of a background check. Selected candidate may
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breeding, bioinformatics, computational biology, genetics, molecular biology or related field Required Experience • Experience with high-performance computing and analysis of next-generation sequencing
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seismology. Desirable experience in laboratory analyses and/or field deployments and the analysis of digital waveform data. Additional Information: Location: Mendenhall Laboratory (0054) Position Type: Term