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Applications are invited for two anticipated research fellowships in computational approaches to understanding the molecular nature of cancer. One position is specifically dedicated to developing tools and techniques for analyzing gene expression data from the National Cancer Institute's Advanced Technology Center. The other position is more open-ended, intended for researchers interested in any aspect of the development and application of advanced machine learning or statistical techniques in the molecular biology of cancer.
The positions will be in the section on Molecular Statistics and Bioinformatics, a recently formed group under the leadership of Dr. Lawrence Hunter. We are machine learning researchers, statisticians, molecular biologists and physicians working to develop computational methods to take advantage of the rapid growth of molecular biological data about cancer, including sequences of oncogenes, gene expression profiles of neoplastic tissues, high throughput screening of anti-tumor compounds, and allellic variation assays such as SNPs. The lab has abundant computational resources, and ready access to all NIH facilities. Candidates should be highly motivated, with excellent programming and writing skills, and a solid understanding of molecular biology. We expect to fill these positions with post-doctoral researchers, but good candidates at more junior or more senior levels may be accommodated. Salaries will be on
To apply, send a CV, one
or two (p)reprints, a brief description of your motivations and goals, and the
names, email addresses and phone numbers of at least three references to the
address below. Email is preferred, but fax or mail applications are also acceptable.
Molecular Statistics and Bioinformatics
National Cancer Institute, MS-9105
7550 Wisconsin Ave., Room 3C06
Bethesda, MD 20892-9015
tel: +1 (301) 402-0389
fax: +1 (301) 480-0223
4) CALL FOR ISMB'99 POSTERS AND SOFTWARE DEMONSTRATIONS
DEADLINE: May 28, 1999
NOTIFICATION: June 10, 1999
ATTEND ONE OF THE PREMIER INTERNATIONAL MEETINGS IN BIOINFORMATICS AND ENJOY THE RARE SIGHT OF A TOTAL SOLAR ECLIPSE
The Seventh International Conference on Intelligent Systems for Molecular Biology (ISMB '99) announces a call for posters and software demonstrations. The conference will take place in Heidelberg, Germany on August 6 - 10, 1999. For more information on the conference visit the web site.
Please send a one-page abstract by the above deadline. We only accept electronic submissions (PS or PDF format). Please use font size at least 10pt and format to fit European Standard A4 but make sure that all of the text is also displayed in US letter size. Please include the following information in this order: title, author(s), affiliation, email address in the header, then followed by the abstract text and completed with a list of references.
Please send all of this information to firstname.lastname@example.org
The actual poster space will be 190x100 cm (HEIGHT x WIDTH). A booklet with the accepted poster abstracts will be available at the conference.
If you represent an academic group you can present your software at our university booth. We intend to set one table including space for a temporary poster (for the time of demonstration) aside for software demonstrations. The table will feature electricity and network connection as well as a large monitor screen. The default will be for you to bring your own laptop for the presentation. A time schedule for software demonstrations will be prepared ahead of the conference. If you want to demonstrate your software, please send a one-page abstract describing your system, adhering to the guidelines for posters. In your email sending the abstract, please qualify your contribution as a software demonstration.
DEADLINE: May 28, 1999
NOTIFICATION: June 10, 1999
5) WASHINGTON UNIVERSITY INTENSIVE SHORT COURSE FOR COMPUTATIONAL MOLECULAR BIOLOGY
Dates: July 26 to 30th, 1999
The faculty of the computational molecular biology program at Washington University in St. Louis offers an introduction to computational molecular biology as a 5 day intensive short course. The course combines an introduction to the theory and practice of molecular sequence analysis with an intensive session on programming in PERL. The course is offered at a graduate level and is intended to be accessible to professional scientists in molecular biology and biotechnology. Our aim is to provide an understanding of how and why different analytic approaches are used including their limitations as well as capabilities. We emphasize the use of public domain software tools rather than focusing on a specific commercial package. The PERL programming sessions are offered in two sections one targeted to professional software developers and the other to scientists with a limited background in computer programming.
The format is a 5-day course with 6 hours of class time each day (3 hrs. in the morning and 3 hrs in the afternoon) for a total of 30 contact hours. The course (BME-72-537A) is offered through the Washington University Summer School and carries two units of graduate credit at Washington University. It is an intensive and challenging course that covers most of the material offered in our regular graduate course on computational biology in a format that is accessible to working scientists as well as faculty and staff with interests in learning new technology.
A CD-ROM containing course
lecture notes, problem sets, programming exercises, public domain software and
reference material will be distributed. All students are asked to bring a laptop
computer (Windows/Intel) for use in the programming sessions.
David States Institute for Biomedical Computing
Michael Zuker Institute for Biomedical Computing
Volker Nowotny Institute for Biomedical Computing
Warren Gish Department of Genetics
Location: Newman Educational Center, Washington University in St. Louis
To register for this course you must bring in or fax your registration form to the continuing Education Department at Washington University. Forms can be obtained from:
Continuing Education Department
Lopata Hall #303
Campus Box 1220
St. Louis, MO 63130