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Position Details Position Information Recruitment/Posting Title Post Doctoral Associate Department Environmental Science Salary Details 68,000 Offer Information The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience,...
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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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are essential. · Record of peer-reviewed publications Certifications/Licenses Required Knowledge, Skills, and Abilities · Comprehensive understanding of statistical concepts and methods. Proficiency in at least
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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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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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. 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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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