276 linked-data-"https:"-"https:"-"https:"-"https:"-"https:" positions at Brown University
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coordinates sample preparation, LC-MS/MS acquisition, quality control, evaluates data, manages project status and intake documentation in iLabs, conducts client consultations including project closeouts/follow
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Responsibilities Creates, enhances, and remediates MARC descriptive metadata for the Brown University Library’s catalog at scale using data manipulation tools and applications (e.g. MARCEdit, OpenRefine, Oxygen XML
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field, such as fundraising, development, customer relations, nonprofits, higher education, and/or high-level administrative support. Job Competencies Excellent analytical, data management, and problem
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Job Description: Position Purpose: The Senior Research Assistant (Clinical) role is to support and carry out research activities for the Survey, Qualitative and Applied Data (SQuAD) Research Core as
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. This includes recruiting, student-athlete development, video analysis, coaching, and administrative duties such as maintaining logs and other compliance information. This position will be responsible
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confidential information and is expected to maintain and secure privacy. The incumbent must maintain the strictest confidentiality while working collaboratively with colleagues to ensure accurate, proactive
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President's priorities, which account for over 50% of the new gifts and pledges secured by the Division of Advancement annually. To accomplish this, the Coordinator will communicate essential information about
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including release of information, faxing, scanning, copying, filing, referrals and referral tracking. This is a 30 hour / 4 day a week position. Rotation to one evening shift (10:30a-7p) per week and weekends
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to support Core operations. The position will require careful collection, recording, and interpretation of experimental data and preparation of collected data for presentation to outside research groups
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research Knowledge of experimental planning and design or willingness to learn Proficiency in data visualization or willingness to learn Proficiency in data analysis, including statistical analysis