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BioMaPS/DIMACS/MBBC/PMMB Short Course: Transcriptional Regulation from Molecules to Systems and Beyond




Banff International Research Station

Statistical Mechanics of Polymer Models

May 10–15, 2003

Organizers:
Christine E. Soteros (University of Saskatchewan)
De Witt Sumners (Florida State University)
Stuart G. Whittington (University of Toronto)

Objectives

The standard models used in the statistical mechanics of polymers are combinatorial structures such as self-avoiding walks, lattice polygons and lattice trees. These systems have been studied by combinatorial and probabilistic approaches, by numerical methods including Monte Carlo techniques, and using a variety of techniques from statistical mechanics. There are many challenging open questions, partly motivated by problems from molecular biology, especially for the more physically relevant models in low dimensions. These include questions about entanglement complexity of ring polymers, phase transitions such as polymer adsorption and polymer collapse, and extensions to random copolymers.

The aim of the workshop is to bring together researchers in this area to review progress in the field and to investigate promising new approaches. Invitees will include people working in combinatorics, knot theory, probability, and statistical mechanics. In particular we intend to bring together people whose backgrounds are in physics and mathematics, to induce some cross-fertilization, and to make them aware of advances in the subject which have occurred in different fields.

Funding

Partial funding for travel support is available from PMMB for a limited number of mathematics graduate students and post-doctoral fellows in the USA and Canada who are interested in learning about research at the interface between mathematics and biology. Applications for these travel funds should be directed to Professor C.E. Soteros, Department of Chemistry, University of Toronto, Toronto M5S 3H6, Canada, soteros@math.usask.ca. Applications should include a covering letter outlining research interests, a short CV, and a letter of recommendation from a research supervisor. The DEADLINE for applications for funding is 15 October 2002.




University of Washington

STATISTICAL GENETICS
AT THE UNIVERSITY OF WASHINGTON

Workshop in Statistical Genetics
and Computational Molecular Biology II

September 21–23, 2003

The workshop is aimed at students from the mathematical, computational, and statistical sciences who may be considering graduate study and research in statistical genetics or mathematical and computational biology.

Come learn about computational biology research.

The primary intended participants are undergraduate seniors or first-year graduate students from colleges and universities in the Pacific Northwest and West Coast: Washington, Oregon, California, Montana, Utah, Idaho, Alaska, and British Columbia. Applications from students from other regions will be considered on a space/funding available basis.

Funding is available to cover the costs of attending the workshop (registration, travel, hotel) for qualified students from the targeted regions. Participants not requesting funding can simply register for the conference. The registration fees are $150 for students and $300 for others. The registration fee will be $50 less for those who register by August 29, 2003. Registration will close when the workshop is full. Non-funded participants will be reponsible for their own travel arrangements and accommodations. A registration page will be made available here when registration opens.

Click here for an explanation of how to apply for funding.

Workshop Speakers

A wide variety of faculty will speak about their research and opportunities for graduate research and education in their groups and laboratories. The following faculty have already agreed to participate:

Dr. Jenny Bryan, University of British Columbia, Statistics

Dr. Mary Emond, UW Biostatistics

Dr. Joe Felsenstein, UW Genome Sciences

Dr. Jinko Graham, Simon Fraser University, Statistics and Actuarial Sciences

Dr. Kathleen Kerr, UW Biostatistics

Dr. Charles Kooperberg, Hutchinson Cancer Research Center

Dr. Stephanie Monks, UW Biostatistics

Dr. William Noble, UW Genome Sciences

Dr. Larry Ruzzo, UW Computer Science

Dr. Ram Samudrala, UW Microbiology

Dr. Elizabeth Thompson, UW Statistics

Dr. Martin Tompa, UW Genome Sciences

Workshop Sponsors

The Program in Mathematics and Molecular Biology, funded by the Burroughs Wellcome fund, has provided partial funding for this workshop. Additional assistance has been provided by: Department of Biostatistics, University of Washington.

Contact the workshop organizers with inquiries: compbio@u.washington.edu

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