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. Qualifications The qualified candidate should hold or be currently pursuing a master's degree or PhD in Mechanical Engineering, Biomedical Engineering, or a related discipline. Postgraduates must have earned
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(MPH, MS, PhD). Highly competitive applicants will have experience or skills in the following: U.S. Citizenship is required, must be able to pass a background investigation. SAS 9.4 experience is desired
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-term EEG recording Preparing routine drug solutions Analyzing in-depth EEG data Interpreting immunohistochemically prepared slides for neuroinflammatory markers Describing and documenting methods and
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in a laboratory General computer skills to include making presentations and analyzing data in spreadsheets or statistical/graphing software Application Requirements A complete application consists of
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. Along the way, you will engage in activities and research in several areas. These include, but are not limited to: Use software, coding and analysis as you learn about curating data for machine learning
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existing skill set. This project will present an exciting opportunity to deepen your knowledge of polymer science & expand your knowledge in applying computational methods to real-world materials challenges
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data as well as experience with data analysis software like Excel, Python, and Matlab. Application Requirements A complete application consists of: Zintellect Profile Educational and Employment History
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. Analyze large-scale data and summarize findings using statistical software (SAS, Python, R, and/or similar programs). Collaborate with team to improve standardization, utility, and public health potential
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) Data collection and analysis using basic and specialized software like MS Office, Prism, Analyst, and MassHunter Sample preparation from blood, plasma, urine, polymers and other matrices Presentation
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prevention activities across the individual, interpersonal, and organizational levels of the social ecology Understanding and/or experience in qualitative, quantitative and mixed method analyses for public