36 data-"https:"-"https:"-"https:"-"https:"-"AALTO-UNIVERSITY" Fellowship positions at University of Michigan
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communication, project management, professional research presentations, and reporting. The individual is responsible for identifying study subjects, gathering clinical data, obtaining informed consent according
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) Names of 3 references, their affiliations, and contact information Applicants selected for an interview will be contacted via email. The interview process will consist of an initial 30-45 minute screening
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, transcriptomics, ChIP,). Analyze and interpret data, prepare manuscripts, and present findings at national and international conferences. Required Qualifications* Prospective candidates for this position
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. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Additional Information
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conduct experiments using murine models, immunological assays (flow cytometry, IFA, ELISA), and molecular biology approaches (qPCR, transcriptomics, ChIP,) Analyze and interpret data, prepare manuscripts
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of existing longitudinal data in order to begin to develop an independent line of research. The fellow will be exposed to various training opportunities related to the investigation of cognitive aging among
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a postdoctoral fellow to provide primary analysis of imaging and other data related to the Udall Center's primary research study and a similar study, the University of Groningen Dutch Parkinson Cohort
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experimental records and documentation Analyze, interpret, summarize and compile data Operate and maintain equipment and instruments Develop figures, search scientific literature, assist in writing manuscripts
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curriculum vitae; (4) a writing sample (for example, a published peer-reviewed manuscript or manuscript in preparation for peer review); and (5) contact information for two or three references who can supply a
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to link behavioral, physiological, and immunological data in both healthy and clinical populations (e.g., patients with cancer). In addition to ongoing data collection, the PI has multiple large, PNI