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Field
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join their team of professionals. Duties to include: Recruiting families for data collection Contact families to schedule data collection sessions. Coordinating and leading focus group sessions
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, edit, and verify accuracy of data in databases. May assist with medical record abstractions, resolving data queries, development of educational materials, and faxing pharmacies and health care providers
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research assistant will work with finance faculty. Duties to include: The Research Student Assistant will be working with SAS and other statistical programs to retrieve data for course materials and/or
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molecular and immunological assays, 2D and 3D cell culture, including primary cells, and procedures with mice. Basic and more complex computational tasks will be required for data analysis and interpretation
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Instituto de Investigación Sanitaria Puerta de Hierro – Segovia de Arana (IDIPHISA) | Spain | 9 days ago
2 Oct 2025 Job Information Organisation/Company Instituto de Investigación Sanitaria Puerta de Hierro – Segovia de Arana (IDIPHISA) Research Field Medical sciences » Medicine Researcher Profile
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data, and possibly when putting together the needed materials for the manuscript. Hourly Salary: $23.00 Hours per Week: 1 (Part time) Location: Sherbrooke 550 Supervisor: Assistant Professor Position
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enquiries relating to the post. For further information on the College of Arts & Humanities, School of Humanities, please visit https://www.gla.ac.uk/schools/humanities/ Job Purpose You will contribute
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references Prepare manuscripts for submission according to journal guidelines Coding qualitative data Extract relevant data from NVivo upon request Assist in preparing PowerPoint presentations and scientific
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duties: Developing research skills when collecting and analyzing data from interviews and survey responses. Drafting summary reports from the data Interacting with PI and peers on developing course
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an emphasis on technology, data science and the humanities. The Data Science and Artificial Intelligence programme of LKCMedicine is a cross cutting programme that aims to bridge the gap between data science