PostDoc in ML, Discovery Systems Laboratory, Tennessee, USA

The Discovery Systems Laboratory has an open post-doctoral position in the area of machine learning and knowledge discovery. The lab's focus is on learning from data: (1) Development and
refinement of algorithms for knowledge discovery (including discovering cause and effect relationships) and (2) Application of knowledge discovery methods to various types of biomedical data including coded data, high throughput data, text and images.

Candidates with an earned PhD in computer science, information science, biomedical informatics or a closely related area with research interests in machine learning and knowledge discovery are encouraged to contact Subramani Mani by email (subramani.mani@ vanderbilt.edu).

For additional details about the DSL please visit www.dsl-lab.org

The DSL is part of the Department of Biomedical Informatics at Vanderbilt University located in Nashville, TN, USA.

European Summer School on Knowledge Discovery for Ubiquitous Computing

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The 2nd European Summer School on Knowledge Discovery for Ubiquitous
Computing
http://wiki.kdubiq.org/summerschool2008/index.php/Main/Home

2-9 March 2008, University of Porto, Portugal

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The European Coordination Action KDubiq-CA (Knowledge Discovery in
Ubiquitous Environments, www.kdubiq.org) seeks new challenges for
knowledge discovery (data mining)in the fields of ubiquitous
computing. Analysis of data in various distributed and ubiquitous
environments such as sensor networks, peer-to-peer networks, embedded
systems, mobile computing devices, and grid computing platforms
demands new types of knowledge discovery algorithms.

The goal of the 2nd Summer School of KDubiq is to strengthen the
common ground for the integration of the involved fields and to
support the formation of the emerging KDubiq Community. Starting with
an introduction into embedded systems, more specialized courses focus
on wireless sensor networks and data streams. Based on a course on
algorithmic foundations of distributed data mining, privacy issues,
Web 2.0 and grid aspects of data mining are being taught. All courses
come along with exercises for hands-on experience.

Students from the last KDubiq Summer School (in 2006 in Dortmund) are
welcome to participate again in the 2nd Summer School! We have
integrated all your proposals in the new concept of the 2nd Summer
School and extended the programme to one week, including practical
lab. hours/excercises and newest ubiq. technologies and applications,
as well as involving industry into the collaboration & networking
sessions of the KDubiq Summer School.
For questions regarding the KDubiq Summer School Student Grants
Programme, please contact Prof. Dr. Katharina Morik at University of
Dortmund, Germany (morik@ls8.cs.uni-dortmund.de)

For KDubiq Members: For KDubiq student and members travel support to
the 2nd KDubiq Summer School, please contact (as soon as possible)
Ina Lauth, Fraunhofer IAIS (mailto: Codrina.Lauth@iais.fraunhofer.de)