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fellowship opportunities

From: Bies, Robert R. <rrbies>
Date: Mon, 10 Aug 2009 16:25:49 -0400

The Disease modeling program at the Division of Clinical Pharmacology, Ind=
iana University, Indianapolis Indiana, has received federal grant funding t=
hrough the Clinical and Translational Sciences Institute for postdoctoral p=
ositions in methodological and/or applied mathematical modeling of disease =
state and progression. This entails non-linear mixed effects modeling, Bay=
esian modeling and Monte-Carlo Simulation techniques. The group offers a =
stimulating modeling environment with active interactions and collaboration=
s within the division of clinical pharmacology as well as with biostatistic=
s, computational biology and bioinformatics. The projects that fellows woul=
d be involved in fall into two tracks, specifically the applied and the met=

Applied Projects

 Development of pharmacometric models to describe and predict (patho-)physi=
ological processes relating to disease state and disease progress and the p=
attern and magnitude of exposure to a given pharmacologic agent. Specific =
therapeutic areas of interest include acute renal failure, psychiatry, hype=
rtension, oncology and traumatic brain injury. These studies are not limi=
ted to model development and hypothesis testing, but also includes the pote=
ntial to use models to guide experimental/clinical trial design and hypothe=
sis generation.
Applicants should have demonstrated experience and proficiency in some aspe=
ct of mathematical modeling (NONMEM(r), MATLAB(r), SAS(r), S(r), R, BUGS et=
c.) as well as a basic knowledge of statistics. Excellent spoken and writt=
en English communication skills are prerequisite.

Methodology and theoretical projects
Evaluations of model solutions and the determination of systems with strong=
 feedback characteristics and/or nonlinear dynamic characteristics using me=
thods including, but not limited to, automated machine learning and genetic=
 algorithms. Applicants should have a high level of proficiency in scripti=
ng, mathematical modeling, code based analysis, interpreted analysis for da=
ta analysis purposes. A basic knowledge of statistics as well as an unders=
tanding in representing and analyzing complex systems would be beneficial. =
 Programming experience in C++, C#, .NET, Matlab or equivalent is preferred=
. Excellent spoken and written English communication skills are prerequisi=
Send letter of interest, curriculum vitae and names of three references to:

Division of Clinical Pharmacology
Attn:Robert Bies
Myers Building, WD W7123
1001 W. 10th Street
Indianapolis, IN 46202
Indiana University is an equal opportunity / affirmative action institution=
. We encourage applications from women and other underrepresented groups. =
 In addition, it is the University's policy to provide reasonable accommoda=
tions for qualified persons with disabilities.

Received on Mon Aug 10 2009 - 16:25:49 EDT

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