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                , social/digital media and health outcomes are a plus. Preferred Qualifications Candidates with a track record in conducting mixed methods research, including population-based surveys, qualitative methods 
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                growth for Portland, Maine, and northern New England. We are nurturing an environment for high-impact research and innovation in computer and data science, digital engineering, the advanced life sciences 
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                , social/digital media and health outcomes are a plus. Preferred Qualifications Candidates with a track record in conducting mixed methods research, including population-based surveys, qualitative methods 
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                and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies 
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                to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field by start 
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                proteomics analysis Organize, process, and report experimental data. Present findings in lab meetings and contribute to manuscript and report writing. Collaborate across functions and mentor junior lab members 
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                About the Opportunity The Center for Drug Discovery, in association with the Bouve College of Health Sciences, Department of Pharmaceutical Sciences, Khoury School of Computer Sciences, and 
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                Research Associate. The Goodwill Computer Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning 
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                Julia), and Experience interacting with and communicating complex findings to diverse partners (e.g., the public, scientists, or public health officials). The hiring process for this role is ongoing 
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                Research Associate. The Goodwill Computer Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning