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. Qualifications: PhD in Microbiology, Molecular Biology, or a related field by the time of hire is required, along with a strong background in theoretical and practical experience within the fields of microbiology
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the analysis and interpretation of research data; responsible for the extraction, analysis and presentation of research data; coordinate the analysis of research findings and prepare detailed summaries
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policies, procedures, rules, and regulations. Performs other job-related assignments as assigned. Qualifications A PhD or MD/PhD, within the last three years with extensive experience cell/molecular biology
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engineering related research, makes and records observations and measurements, collects and compiles data for computer input and analysis, perform literature search on related topics, and operates and maintains
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development. Key Responsibilities: Research (80%) Conduct advanced research in protein characterization and bioinformatics. Perform metagenomic analysis to explore microbial communities and their functional
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. The Arts and Sciences provides extraordinary opportunities to collaborate across disciplines, blending creativity and analysis to truly be at the forefront of thought. The breadth and depth of knowledge in
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. Responsibilities include developing and contributing to projects, investigating new phenomena, setting research priorities, conducting experiments, data analysis, literature reviews, and laboratory maintenance
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research. The Postdoctoral Scholar – Pharmacometrics in the PhASR will support data collection, quality control of data, data analysis, modeling, simulation and PK/PD study design for human clinical trials
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analysis to explore microbial communities and their functional potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute
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in life cycle analysis for separation science are required. Desired: Research interest in statistical data analysis is desired. Strong software skills in Excel and Minitab or other statistical