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statistical analysis software. Physical Demands and Work Environment Overview The School of Environmental and Biological Sciences, located on the George H. Cook Campus, is one of the undergraduate schools
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) and shotgun metagenomic datasets. Integrate microbiome datasets with metabolomics and other omics data using advanced computational and statistical approaches. Develop, implement, and maintain
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-day work will include database management, statistical analysis, manuscript writing, and mentorship of students/trainees. There will be opportunities for authorship on publications, teaching
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. Certifications/Licenses Required Knowledge, Skills, and Abilities This position requires advanced statistical analysis skills, including expertise with Stata or R software, and familiarity with Python. Knowledge
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the evolution of kinship, gendered labor divisions, or disability are encouraged to apply. A Ph.D. in anthropology, biology, demography, statistics, or a related field is required. The position offers a flexible
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Science, Education, or related discipline Proficiency in programming (MATLAB, Python, R) Experience using advanced statistics Ability to build advanced experimental interfaces (using Matlab, Psychopy
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Experience · PhD in oceanography, atmospheric science, geophysics, economics, computer science, statistics, or a related discipline at time of appointment; · Familiarity with literature relevant to sea-level
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oceanography, atmospheric science, geophysics, economics, computer science, statistics, or a related discipline at time of appointment; · Familiarity with literature relevant to sea-level projections and/or
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to shape a desired area of focus within the applied climatology framework. Successful candidates will be involved in field sampling, numerical/statistical modeling of hazards/impacts, and outreach to local
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disease. Experience in data analysis and/or statistical methods is helpful. Equipment Utilized Biosafety cabinets, liquid nitrogen freezers, microscopes, centrifuges, gel electrophoresis, electroporators