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Summer Graduate Workshop Search
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Upcoming Summer Graduate Workshops:
Every summer MSRI organizes several summer graduate workshops (usually
two weeks each), most of which are held at MSRI. Attending one of these
workshops can be a very motivating and exciting experience for a
student; participants have often said that it was the first experience
where they felt like real mathematicians, interacting with other
students and mathematicians in their field.
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Eligibility: Graduate students from MSRI Academic Sponsoring Institutions or from Department of Mathematics at U.S. Universities.
How to apply: Graduate students must be nominated by their Director of Graduate Studies. Each institution can recommend two students (in total) to participate in these workshops, and can send a third one if the group includes a woman or a member of an under-represented minority.
The Director of Graduate Studies submits nominations of students for particular workshops by sending a list of names (2 or at most 3 total)
with the students email addresses, to sgwnominations@msri.org during the enrollment period of each year. If 3 students are recommended, their gender and ethnicity must also be specified.
Selection process: We accept nominees on a first-come first-served basis up to the limits of the capacity of each workshop. If the chosen workshop is already full, the nominating institution may make additional nominations to other workshops until its quota of two (or three) accepted participants is reached.
Stipends: MSRI covers the travel and local expenses of all the students. The rate for travel reimbursement is up to $550 for students from US universities, and up to $700 for students from foreign sponsoring institutions.
Enrollment Period: November 16, 2009 through March 15, 2010
Early nominations will not be accepted.
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| Summer School on Operator Algebras and Noncommutative Geometry |
| June 14, 2010 to June 25, 2010 |
| Location: University of Victoria, Victoria, BC, Canada. |
| Organized By: Heath Emerson, (University of Victoria)
Thierry Giordano, (University of Ottawa)
Marcelo Laca, (University of Victoria)
Ian Putnam, (University of Victoria) |
| The summer school aims to expose participants to the classication of noncommutative
spaces, to the study of their homological and cohomological invariants, and to explore fascinating
new connections between their symmetries and long standing problems in number
theory. Additional information can be found on the PIMS page |
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| Probability workshop: 2010 PIMS Summer School in Probability. |
| June 21, 2010 to July 10, 2010 |
| Location: U. Washington and Microsoft Research |
| Organized By: Krzysztof Burdzy (University of Washington),
Zhenqing Chen (University of Washington),
Christopher Hoffman (University of Washington),
Soumik Pal (University of Washington),
Yuval Peres ( University of California, Berkeley) |
| The 2010 Pacific Institute for the Mathematical Sciences (PIMS) Summer
School in Probability will be held at the University of Washington and
Microsoft Research. The workshop will have two main courses, and three short ones.
For further information please visit the following link pims homepage |
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| Sage Days 22: Elliptic Curves |
| June 21, 2010 to July 02, 2010 |
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| Organized By: William Stein (University of Washington) |
| This workshop will introduce graduate students to several central
ideas in the arithmetic of elliptic curves. Participants will join a
project group that will focus mainly on one topic, possibly involving
elliptic curves over number fields, complex or p-adic L-functions,
Heegner points and Kolyvagin classes, Iwasawa theory, and the Birch
and Swinnerton-Dyer conjecture. The workshop will emphasize the
essential interplay of abstract mathematics with explicit computation,
which has played a central role in number theory ever since Birch and
Swinnerton-Dyer made their famous conjecture in the 1960s.
Participants will use, and improve, the free open-source Python-based
mathematical software system Sage (http://www.sagemath.org) for
computational projects. |
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| IAS/PCMI Research Summer School 2010: Image Processing |
| June 27, 2010 to July 17, 2010 |
| Location: Park City Utah |
| Organized By: Tony Chan (UCLA)
Ron Devore (U. of South Carolina Columbia)
Stanley Osher (UCLA)
Hongkai Zhao (UC Irvine) |
| For application forms and information please visit the following link IAS/PCMI application homepage |
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| Climate Change Summer School 2010 |
| July 12, 2010 to July 23, 2010 |
| Location: The National Center for Atmospheric Research (NCAR). Boulder, CO |
| Organized By: Chris Jones (UNC and Warwick), Doug Nychka (NCAR) and Mary Lou Zeeman (Bowdoin) |
| NCAR supports scientific research on nearly every aspect of the atmosphere and related components of the Earth’s physical and biological systems. This includes developing state-of-the- art climate models, high performance computing and also innovative ways of observing the atmosphere and oceans. The Center has approximately 1000 staff and is supported primarily by the National Science Foundation. Part of the NCAR mission is to engage students in the problems of understanding climate and weather and so provides an ideal context for this summer graduate workshop. The workshop is also part a larger program at NCAR through the Institute for Mathematics Applied to Geosciences: Mathematicians and Climate. For more information, please see www.image.ucar.edu |
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| Algebraic, Geometric, and Combinatorial Methods for Optimization |
| August 02, 2010 to August 13, 2010 |
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| Organized By: Matthias Köppe (UC Davis)
Jiawang Nie (UCSD) |
| This workshop is intended to introduce to graduate students the main
ideas of algebraic, geometric and combinatorial methods in global
optimization. We emphasize the major developments in the past few
years from two viewpoints. The first one is that of the interaction
of semidefinite programming and real algebraic geometry and includes
topics such as linear matrix inequalities, positive polynomials, and
sums of squares. The second viewpoint is that of primal methods and
generating function methods in integer linear and nonlinear
optimization. |
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