Copy Link
Add to Bookmark
Report

Machine Learning List Vol. 2 No. 23

eZine's profile picture
Published in 
Machine Learning List
 · 11 months ago

 
Machine Learning List: Vol. 2 No. 23
Friday, Nov 30, 1990

Contents:
ML Workshop
Job announcement: National Library of Medicine



The Machine Learning List is moderated. Contributions should be relevant to
the scientific study of machine learning. Mail contributions to ml@ics.uci.edu.
Mail requests to be added or deleted to ml-request@ics.uci.edu. Back issues
may be FTP'd from ics.uci.edu in /usr2/spool/ftp/pub/ml-list/V<X>/<N> or N.Z
where X and N are the volume and number of the issue; ID & password: anonymous

------------------------------
Date: Mon, 26 Nov 90 14:19:18 CST
From: Lawrence Birnbaum <birnbaum@fido.ils.nwu.edu>
Subject: ML Workshop

ML91 The Eighth International Workshop on Machine Learning

CALL FOR PAPERS

The organizing committee is please to announce that ML91 will include the
following workshop topics:

Automated Knowledge Acquisition
Computational Models of Human Learning
Learning Relations
Machine Learning in Engineering Automation
Learning Reactive Strategies
Constructive Induction
Learning in Intelligent Information Retrieval
Learning from Theory and Data

Papers must be submitted to one of these workshops for consideration. The
provisional deadline for submission is February 1, 1991. Papers to appear
in the proceedings must fit in 4 pages, double column format.

More details about the constituent workshops, including submission
procedures, contact points, and reviewing committees, will be forthcoming
shortly.

ML91 will be held at Northwestern University, Evanston, Illinois, USA (just
north of Chicago), June 27-29, 1991.

On behalf of the organizing committee,

Larry Birnbaum and Gregg Collins

------------------------------
Date: Thu, 29 Nov 90 11:54:30 EST
From: Larry Hunter <hunter@nlm.nih.GOV>
Subject: Job at the National Library of Medicine

The National Library of Medicine is seeking qualified applicants for a
Computer Scientist at the GS-12 or GS-13 level for a position in the
Lister Hill National Center for Biomedical Communications. The
successful applicant will conduct basic research in the area of
machine learning, automated discovery and/or cognitive models of
learning and discovery, as applied to medical, bioscience or
biotechnology domains. Candidates should have a Ph.D. or equivalent
in computer science, substantial expertise in some aspect of machine
learning (e.g. case-based reasoning, genetic algorithms, inductive
inference, neural networks, or statistical induction) and preferably
some familarity with biology or medicine. Researchers possessing
Ph.D.s in other fields and significant computer programming experience
will also be considered.

The National Library of Medicine has extensive, state of the art
facilities including Sun, Silicon Graphics, IBM and Macintosh
workstations; access to IBM and Cray supercomputers and a TMC
Connection Machine; access to large databases of bibliographic,
macromolecular sequence, and other information; high speed, wide area
network links; and a variety of other audio, video and communications
technologies. The incumbent will collaborate with researchers in the
National Center for Biotechnology Information, The National Center for
Human Genome Research, and at other institutions, both nationally and
internationally.

Interested parties with relevant experience are invited to submit a
statement of interest and qualifications to Lawrence Hunter, National
Library of Medicine, Bldg. 38A, MS-54, Bethesda, MD 20894. Statements
may also be submitted by electronic mail to hunter@nlm.nih.gov
(internet) or by fax to (301)496-0673. Qualified applicants will then
be advised of formal application procedures.

The US Government is an equal opportunity employer; women, minorities,
veterans and the physically disabled are encouraged to apply.
------------------------------
END of ML-LIST 2.23

← previous
next →
loading
sending ...
New to Neperos ? Sign Up for free
download Neperos App from Google Play
install Neperos as PWA

Let's discover also

Recent Articles

Recent Comments

Neperos cookies
This website uses cookies to store your preferences and improve the service. Cookies authorization will allow me and / or my partners to process personal data such as browsing behaviour.

By pressing OK you agree to the Terms of Service and acknowledge the Privacy Policy

By pressing REJECT you will be able to continue to use Neperos (like read articles or write comments) but some important cookies will not be set. This may affect certain features and functions of the platform.
OK
REJECT