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, econometric, and other methods to strengthen causal inference using multilevel, longitudinal data and quasi-experimental approaches, along with the exploration of gender, racial/ethnic and socioeconomic
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About the Opportunity Postdoctoral Research Associate – Human Data Interaction/Data Visualization – The Roux Institute, Portland, Maine We are currently seeking two postdoctoral research fellows
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determinants of health with a focus on cognitive decline/dementia and an emphasis on the application of epidemiologic, econometric, and other methods to strengthen causal inference using multilevel, longitudinal
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of oysters, genomic forecasting, evolution of structural variants, and population genomics. More information on lab projects can be found in our lab publication record and our lab website: https
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), with a track record of working with large, complex datasets. This includes collecting, managing, analyzing, and visualizing/communicating data to a variety of audiences: the general public, scholars
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position
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experiments, training graduate students, data analysis, scheduled reporting to funding agency and/or collaborators, as well as participating in the laboratory duties. In this role it is critical
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biochemistry, genetics, microbiology, and cell biological approaches. For more information check the Saavedra lab website: https://www.saavedralab.com The successful candidate for this role will join a
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, docking, or related modeling techniques. Strong programming and data analysis skills. Excellent communication and teamwork abilities. Preferred Qualifications: Background in glycan modeling or immunology