559 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at University of Pittsburgh
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-related tasks. This individual will also assist and oversee data collection processes (including electronic medical record review), data entry, evaluation and analyses for this study, as well as assist with
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preparation, tissue cutting, and short-term cell culture. Writes reports and summaries of findings. 2. Prepares and interprets data for presentation to the group, publications, and grants. 3. Assist with
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outpatient settings Coordinating protocol related research procedures, study visits, and follow up appointments Completing and overseeing data entry and data management Maintaining source documentation in
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for analysis. The applicant will participate in data analysis, research seminars, and scientific discussions to gain a well-rounded understanding of the scientific process and the current state of research in
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information. This position will involve ensuring lab compliance with animal and chemical regulations. The position requires mouse colony maintenance and husbandry and mouse behavioral training. Additional
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. For more information, please visit the website at: innovation.pitt.edu. Job Summary Develops and oversees licensing opportunities for intellectual properties and manages a portfolio of cases. Determines and
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initiatives, data analysis and reporting to the Director of Finance and Academic Operations. Job Summary Provides advice and guidance on all phases of human resources, serves as a consultant to people managers
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, and maintain daily miscellaneous tasks in the lab. Excellent computer skills and ability to collect and organize results in a complex database are required. The candidate should be highly motivated and
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, genotyped and appropriate mice used for experimental procedures including infection and post infection analyses. Technician will ensure the accuracy and validity of the data by using appropriate controls
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regarding the patient. · Assist with the research or clinical team’s responsibilities occasionally (e.g., data abstraction, data management). · Attend weekly meetings pertaining to research and patients with