Erasmus Mundus Master Program in Data Mining and Knowledge Management

Call for application Erasmus Mundus Master Program in Data Mining and Knowledge Management (EM-DMKM).

website: www.em-dmkm.eu

Erasmus Mundus is a certification of excellence which is delivered by the European community to the best international master programs in Europe, and it is supported by very attractive scholarships.

The Erasmus Mundus Master Course in Data Mining and Knowledge Management (DMKM) proposes specialist training in this field. This is a two years course.
The higher education consortium that organizes the master is composed of six universities in four countries:

Opening for 8 Full-Time Doctoral Scholarships

Opening for 8 Full-Time Doctoral Scholarships

at the Bonn-Aachen International Research School of Applied
Information Technology (B-IT Research School), Aachen/Bonn, Germany
http://www.b- it-center. de/research- school

Application deadline: January 2nd, 2010
Submit electronically to: rs-applications@ b-it-center. de
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Master of Human Rights and Democratisation (Asia Pacific)

The Institute of Structural Biology (IBS) in Grenoble and the Laboratory LEGI
collaborate within the project Nanobiodrop.
This project involves the formation of artificial biological membranes to study the insertion of
transmembrane transport proteins and measure their activity. The technique based on the manipulation of nanodroplets has proven effective in vitro and its integration into mi-crosystems is a challenge today that opens interesting perspectives in biotechnology and biology such
as drug screening or the study of artificial cells networks.

Position Women/Gender, Five Colleges, Research Associateship

Five Colleges, Incorporated - Research Associateship in Women/Gender

Location: Massachusetts, United States
Institution Type: College/University
Position Type: Visiting Scholar
Submitted: Monday, November 23rd, 2009
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Main Category: Women/Gender
Secondary Categories: Fellowships/ Grants/Interns

12 PhD Positions in Applied Math at University of Heidelberg

The Research Training Group (RTG 1653) funded by the German Science Foundation (DFG) and associated with the Interdisciplinary Center for Scientific Computing (IWR) of the University of Heidelberg, Germany, offers 12 Doctoral Positions (TV-L 13) for research projects focusing on statistical and optimization aspects of modeling, learning and inference with probabilistic graphical models, and related challenging applications of image analysis in computer vision, environmental science, life sciences and industry.

PhD position in Quantitative Modeling at ETH Zurich, Switzerland

PhD Position (Quantitative Modeling)

At the Chair of Systems Design, we use methods from complex systems theory to understand the dynamics of social and economic systems. This includes methods from statistical physics, evolutionary game theory, micro economics, mathematics, and computational sciences.

We are looking for candidates with a strong quantitative background in one of these fields to fill in a doctoral student position starting as soon as possible, or by agreement. We offer excellent working conditions in a lively team and innovative research in close collaboration with leading teams all over the world.

Applicants should have excellent credentials and a proven interest in interdisciplinary research to explore scientific problems beyond the beaten track, both within the team and independently. But most of all, they should be highly motivated to work in the genuinely transdisciplinary environment of our team consisting of economists, physicists, computer scientists, mathematicians, and engineers. This also requires strong communication skills and fluently spoken and written English.

Applicants are asked to send their curriculum vitae, list of (and links to) their publications, names of at least three references, and an overview of their research interests (all in PDF files and in English) to

Ms. Rahel Dulik
rdulik@ethz. ch

For specific inquiries, please contact Prof. Dr. Dr. Frank Schweitzer (fschweitzer@ ethz.ch).
website link:
http://www.sg. ethz.ch/openposi tions/phd