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Postdoctoral Fellowship in Statistical Reinforcement Learning at the
University of Michigan

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This position involves research on methods for constructing and
evaluating sequential, clinical, decision making polices (dynamic
treatment regimes) using experimental trial data. In this position you
will have the opportunity to collaborate with statisticians, computer
scientists and clinical scientists on the development of clinical
trials, statistical methods and computational algorithms and in the
analysis of data.  To be considered for this position you must have a
recent Ph.D. in Statistics, Computer Science, Operations Research or
Electrical Engineering.  This appointment will be for up to three
years, with an annual renewal subject to satisfactory performance.

The University of Michigan is a non-discriminatory, affirmative action
employer.

To apply for this position please send your CV and a statement of your
interests to
Susan Murphy [EMAIL PROTECTED]
Department of Statistics
University of Michigan
Ann Arbor, MI 48109-1107
http://www.stat.lsa.umich.edu/~samurphy/

Attachment: Postdoctoral Fellowship at the University of Michigan.pdf
Description: Adobe PDF document

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