Adaptive Computation: new web site + post-doc ad

Patrik D'haeseleer patrik at
Thu Oct 2 12:42:03 EST 1997

The Adaptive Computation group at the University of New Mexico 
                  presents its new web site, at

The Adaptive Computation group at the UNM Computer Science Department
a special interest in interactions between biology and computation. The
group has close ties with UNM's Biology Department and the Santa Fe
Institute, and has been active doing research on Complex Adaptive
for more than XXX years.

Main research projects include the Abbadingo Competition, Acoustic
Separation and Localization, Computational Neuroscience, Computer Immune
Systems, Ecosystem Modeling, Foundations of Genetic Algorithms, Genetic
Regulatory Networks, Immune System Modeling, Living Computation: CCR,
Understanding Early Visual Processing.

                        Post-Doc Opportunity:

The adaptive computation group at UNM has several open positions for
post-doctoral researchers. We are looking for first-rate, creative, and
independent people with a range of backgrounds and interests. Candidates
should have a Ph.D. (or expect to receive one soon) in computer science
or a related field. We are particularly interested in candidates
with some of the following areas of expertise: Machine learning,
genetic algorithms, dynamical systems, data and time-series analysis,
statistical modeling, operating systems, computer security, and acoustic
source separation. Specific projects with funded post-doctoral positions
include immune system modeling, computer immune systems, acoustic
source separation and localization, and data fusion in computational

Post-doctoral appointments are expected to last two years, but for
everyone's protection they are guaranteed only for one year, and in
unusual circumstance can be extended for another year or two. To apply,
please contact either Stephanie Forrest (forrest at or Barak
Pearlmutter (bap at prior to submitting a curriculum vitae,
list of publications, statement of research interests, and three letters
of recommendation.

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