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, or related fields Preferred Qualifications Master's degree preferred Proficiency in R or Python for data manipulation and analysis. Familiarity with version control (e.g., Git/GitHub) and reproducible research
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languages such as R, Python, and Linux, and possess excellent written and oral communication skills. She/he/they will provide assistance with preparation of reports and papers for publication; assistance with
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computer programming in multiple languages, analyzing data, developing statistical models, creating presentations, and editing research papers. Candidates will be expected to manage undergraduate research
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, or reporting. Strong organizational, communication, and time management skills. Basic knowledge of SQL and Excel required. Familiarity with statistical or data tools (e.g., R, Stata, Python) preferred. Ability
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acquired at multiple resolutions (tissue-level, single-cell/nucleus, and spatial transcriptomic data), requiring complex integrative analyses. The successful candidate will lead the analysis of a large
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different flood adaptation strategies with respect to meeting multiple community objectives, over various time horizons, and to develop adaptation plans. The project will provide experience with implementing
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, multiple sclerosis, epilepsy, and other neuroinflammatory and aging-associated conditions. The successful candidate will contribute to the design and optimization of serologic assays/platforms and the
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; ability to juggle multiple tasks. Collaborative mindset with comfort taking direction and asking for help; strong interpersonal skills for working across academic and administrative units. Familiarity with
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tools (e.g., R, Stata, Python) preferred. Ability to handle multiple tasks and meet deadlines with accuracy and attention to detail. Interest in working collaboratively in a team setting and learning new