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note that interviews have been tentatively scheduled for the last week of August. Applications will be reviewed as received. Candidates may be interviewed prior to the job closing date. We encourage
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university for everyone on our website . Job Info Job Identification 7583 Job Category Academic Non-clinical Posting Date 08/06/2025, 12:01 AM Apply Before 08/27/2025, 11:59 PM Job Schedule Full time Locations
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 3 months ago
hours per week Work Schedule Monday thru Friday Pay Rate Minimum Experience/Education This position requires a PhD in Biology, Genomics, Computer Science, or a similar field. The postdoc will report to
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comprehensive fellowship training year. Finally, the fellow’s schedule allows for ample time for elective and research opportunities depending upon individual fellow interests. The University of California is an
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modules and a commitment to equality, diversity and inclusive education is essential. Additional Information Closing date: 29 June 2025 at 11:59pm. Interviews are scheduled to take place on w/c 7th July
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of the clinical trial research, including subject recruitment, scheduling, data collection, processing, and data dissemination. Ensure that all experiments are appropriately conducted following the policies and
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or data to inform research outcomes. Proven skills in study design and data collection methods, including development of in-person data collection tools (such as surveys and interview schedules) and
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suitability for the role. Applications close Sunday 13 July at 11.00pm AEST (R-52461). Please note that interviews have been tentatively scheduled for July.
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to the postdoctoral candidate. Participate and lead all aspects of the clinical trial research, including subject recruitment, scheduling, data collection, processing, and data dissemination. Ensure that all
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collection methods, including development of in-person data collection tools (such as surveys and interview schedules) and familiarity with or experience in secondary data and its analysis. Demonstrated