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Position: Postdoctoral Associate, Computational Microbiology and Urban Health
Institution: Massachusetts Institute of Technology
Location: Cambridge, Massachusetts, United States
Duties: Postdoctoral Associate to fill a research position that focuses on understanding how human health and the environmental interact to influence Alzheimer’s disease risk. This project, titled “Dissecting the impact of environmental factors and the microbiome on Alzheimer’s disease”, will apply experimental and computational methods to quantify, characterize, and model the relationship between the urban environment, the human microbiome, and Alzheimer’s disease. Will apply bioinformatic and biostatistical methods to analyze and interpret the multiomic data (e.g., metagenomics, metabolomics) of study participants; identify and collect metadata (e.g., socio-demographic, diet, lifestyle, geographic, clinical tests) from study participants
Requirements: Ph.D. in microbiology, computational biology, bioinformatics, biostatistics, medicine or related field; experience with multiomics techniques (metagenomics, metabolomics); experience handling and analyzing large-scale biological datasets; advanced-level programming skills; strong problem-solving and verbal and written English communication skills
   
Text: Postdoctoral Associate, Computational Microbiology and Urban Health Postdoctoral Associate to fill a research position that focuses on understanding how human health and the environmental interact to influence Alzheimer’s disease risk. This project, titled “Dissecting the impact of environmental factors and the microbiome on Alzheimer’s disease”, will apply experimental and computational methods to quantify, characterize, and model the relationship between the urban environment, the human microbiome, and Alzheimer’s disease. Will apply bioinformatic and biostatistical methods to analyze and interpret the multiomic data (e.g., metagenomics, metabolomics) of study participants; identify and collect metadata (e.g., socio-demographic, diet, lifestyle, geographic, clinical tests) from study participants Ph.D. in microbiology, computational biology, bioinformatics, biostatistics, medicine or related field; experience with multiomics techniques (metagenomics, metabolomics); experience handling and analyzing large-scale biological datasets; advanced-level programming skills; strong problem-solving and verbal and written English communication skills
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