-
/dept/michigan-neuroscience-institute for more information about the Institute. Job Summary The Allada Laboratory (alladalab.org) at the Michigan Neuroscience Institute (MNI), University of Michigan, is
-
-epidemiological methodologies, claims and linked administrative data, and evaluation of controlled substance prescribing patterns and outcomes in acute and chronic pain populations. Training includes analytic skill
-
Apply Now How to Apply https://apply.interfolio.com/175076 . Only materials submitted through the Interfolio link will be reviewed. Do not submit materials on this website using any of the apply
-
qualifications, experience, research domain(s), including any professional experience, and near term goals Link to a portfolio, containing relevant design work done professionally or academically (20 pages maximum
-
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
-
three references and their contact information A link to GitHub repos for relevant code (optional) Starting salaries will vary depending upon the qualifications and experience of the selected candidate
-
), outlining qualifications for the fellowship appointment, academic experience, research domain(s) of interest, any professional experience, and near-term goals Link to a sample publication done professionally
-
to the fellowship project you are applying to) 1-page teaching statement (outlining your teaching experience and outlook) A curriculum vitae A URL link to a portfolio of work (not to exceed 20 pages, PDF format
-
Building on UM's medical school campus, immediately adjacent to UM's central campus. The laboratory is closely linked with multiple basic science and clinical laboratories through active collaborations
-
contact information for three references, and a cover letter describing their research interests and qualifications, as well as their availability to begin the appointment to Jiahe Li, jiaheli@umich.edu