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Postdoc Position, Berkeley Lab

The Future Technologies Group of the Berkeley Lab's Computational
Research Division has an immediate opening for a postdoctoral
researcher to work on research in energy efficient graph analysis and
data mining.

This project will explore methods to increase the energy efficiency of
parallel graph algorithms and data mining tasks. A new family of
algorithms will be developed to drastically reduce the energy
footprint and running time of the graph and sparse matrix computations
that form the basis of various data mining techniques.  This appointee
will be part of an experienced research team and will be supported
through a long-term DOE research grant. Deliverables will include
prototype software implementations and publications targeted at
top-tier research conferences and journals.

More information can be found in this flyer:
http://gauss.cs.ucsb.edu/~aydin/75939_flier.pdf

Applications are accepted until the position is filled, and can be
done here:

https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=75939

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