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*** Postdoctoral Fellow ***
in
Image-Based Data Mining
at
Johns Hopkins University
To begin in Autumn 1999, or as soon as possible thereafter, with an
initial 1 or 2 year term. Research will focus on development of novel
statistical/data-mining methods for the analysis of large-scale
image databases arising in the setting of stroke, normal aging, trauma,
and other settings. The project embodies challenging interdisciplinary
research and development at the interfaces of statistical science,
computer science, and neuroscience. The appointee will work with a team of
Johns Hopkins faculty researchers from the Departments of Radiology and
Biostatistics and Electrical Engineering, along with clinical
collaborators at the Johns Hopkins University School of Medicine.
Suitable applicants will have a PhD in statistics or a related discipline
(e.g., computer science with a strong statistical or Bayesian component),
and interest in biomedical research. We particularly seek applicants with
interest and experience in computational statistics (particularly Bayesian
methods) and data analysis in complex, large-scale problems in
interdisciplinary research collaborations. Prior experience in
neuroscience is not required.
More information on the Neuroimaging Laboratory can be obtained from
, and
.
Please send CV and 3 letters of reference to:
Edward H Herskovits, MD, PhD
Department of Radiology
Houck B-100
Johns Hopkins University
600 North Wolfe Street
Baltimore, MD 21287-7619
Facsimile 410.955.0962
Informal inquiries or electronic submission of application materials can
be made to Edward Herskovits at [email protected].
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| Please send CV and 3 letters of reference to:
Edward H Herskovits, MD, PhD
Department of Radiology
Houck B-100
Johns Hopkins University
600 North Wolfe Street
Baltimore, MD 21287-7619
Facsimile 410.955.0962
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