Two positions for postdoctoral research associates in statistical
methods
and computation for immunological applications are available at Duke
University.
These positions are available immediately and will be filled as soon as
possible.
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* Postdoctoral research associate (RA) in statistical science -
Bayesian methods
and advanced Bayesian computation for structured mixture modelling.
(NIH - ARRA RC1 funding)
Appointment will be to the Department of Statistical Science, working
with
Mike West and his research group in development and implementation of
structured
mixture models for high-dimensional variables and very large data sets.
Applied
contexts are those of structure identification and discrimination in
studies
immune monitoring and immunotherapy applications in vaccine research,
infectious
disease and cancer, using huge data sets generated by flow cytometry
technologies.
The RA will join an interdisciplinary team of researchers and
students in
statistical science, computational biology and clinical sciences,
working together
to develop statistical models and software for flow cytometry data
analysis.
The RA will be involved in theory and methods developments related to
hierarchical
mixture modelling and Bayesian analysis, and implementation of MCMC and
Bayesian EM
methods including aspects of parallel and multi-core computation.
Candidates should
have a PhD in statistics or closely related discipline, knowledge and
experience in
Bayesian methods and computation, strong computational orientation and
programming
skills, and interests in biological applications.
This position is available immediately and will be filled as soon as
possible.
Appointment will be made on a renewable, one-year contract with the
expectation
of a two-year term.
Applications should be submitted by email only (as pdf attachment) to
tameka@stat.duke.edu.
Applicants should arrange for 3 letters of recommendation to
be emailed to the same address.
Duke University is an Equal Opportunity/Affirmative Action Employer and
Educator
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* Postdoctoral research associate in computational statistics for flow
cytometry.
(NIH - ARRA RC1 grant funding)
The department of Biostatistics and Bioinformatics at Duke University
Medical Center
has a postdoctoral research associate (RA) position open in
computational statistics
for flow cytometry. Flow cytometry is an advanced technology assay for
measuring
individual cell phenotype and function, and is critical for immune
monitoring and
immunotherapy applications in vaccine research, infectious disease and
cancer. The
RA will join an interdisciplinary team of researchers and students in
computational
biology, statistics and clinical sciences working together to develop
statistical
models and software for flow cytometry data analysis.
The RA roles include the management and analysis of cancer and HIV data
sets, as well
as working with our collaborators in statistics to develop an open
source software
suite for Bayesian machine learning in flow cytometry. Candidates
should have a PhD
in Computational Biology, Bioinformatics, Computer Science or related
technical field,
and strong programming skills in Python and C/C++. Knowledge of
databases and a
biological background are desirable but not necessary. The successful
candidate will
be expected to interact with experimentalists and clinicians, and to
have a strong
interest in learning the relevant biology.
This position is available immediately and will be filled as soon as
possible.
Appointment will be made on a renewable, one-year contract with the
expectation
of a two-year term.
Please submit a cover letter (including a brief statement of interest),
CV, and contact
information for 3 references to Dr. Cliburn Chan, cliburn.chan@duke.edu.
Duke University is an Equal Opportunity/Affirmative Action Employer and
Educator
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