Please reply to the folks listed in the advert and not to the sender.
STATISTICS RESEARCH ASSOCIATE POSITION IN SYDNEY
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The University of New South Wales (UNSW), Sydney, Australia,
is endeavouring to appoint a research associate on the
Australian Research Council Discovery Project
STATISTICAL METHODS FOR FLOW CYTOMETRIC DATA
The chief investigators are:
Professor Matt Wand
Dr Inge Koch
The successful applicant will work in the
UNSW Department of Statistics. Our Department:
* is part of the UNSW School of Mathematics;
one of the strongest mathematical science schools
outside of North America and Europe.
* has 14 faculty researching in Statistics,
Probability and Financial Mathematics.
* is located in one of the World's most
beautiful and exciting cities. For example,
world class surfing beaches, cliff-top walks,
snorkelling spots, theatre, opera and art
galleries are within 5 km of our offices.
* is described more fully on the web-site
www.maths.unsw.edu.au/statistics/statshome.html
Flow cytometry is a method by which multiple physical
characteristics of single cells or other particles are
simultaneously measured as they pass through a laser
beam in a fluid stream. The method is used for purely
scientific research and in medical diagnostics.
A typical flow cytometry experiment results in multivariate
samples of size about 10,000, corresponding to the number
of particles. The properties of each cell are described
by a multi-dimensional vector.
The project will develop statistical methods to
aid research and development in the biotechnology of
flow cytometry. The methods will draw and expand upon
recent developments in various branches of Statistics:
functional data analysis, statistical learning,
semiparametric function estimation, feature
significance and statistical graphics.
Essential criteria:
a PhD or equivalent qualification in a relevant
discipline; good oral and written communication skills;
knowledge of equity and diversity policies and programs;
knowledge of occupational health and safety (OHS)
responsibilities and commitment to attend relevant
OHS training. Sound knowledge of statistical
methodology and computational statistics.
Desirable criteria:
Knowledge of one or more of the following
areas: functional data analysis, statistical learning,
semiparametric function estimation, feature significance,
and statistical graphics. Experience with the computing
packages R, S-PLUS and/or Matlab; demonstrated interest
in applying statistical methodology to biotechnology;
and an ability to work independently and co-operatively
with others.
Period of position:
This position is available initially for 2 years with a
possible extension to a 3rd year.
Further information:
Professor Matt Wand <[log in to unmask]>
Dr Inge Koch <[log in to unmask]>
How to apply:
Please view the web-page
http://www.hr.unsw.edu.au/employment/11020508.htm
and click on the HOW TO APPLY near the bottom of the page.
The closing date is 15th March, 2005.
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