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Weitergeleitete Nachricht<BR><B>Von: </B>"Fasulo, Daniel (SCR US)"
<daniel.fasulo@siemens.com><BR><B>Datum: </B>Fri, 21 Mar 2008 12:46:49
-0700<BR><B>An: </B>"Fasulo, Daniel (SCR US)"
<daniel.fasulo@siemens.com><BR><B>Betreff: </B>Open full-time and
internship positions at Siemens<BR><BR></SPAN></FONT><SPAN
style="FONT-SIZE: 12pt"><FONT face=Arial>Dear Colleague,<BR></FONT><FONT
face="Calibri, Verdana, Helvetica, Arial"><BR></FONT><FONT face=Arial>I
apologize for the generic email. I wanted to make you and your students
aware of full-time and temporary opportunities related to bioinformatics and
biomedical informatics at Siemens in Princeton, NJ. Details are below; you
can also email me with any questions.<BR></FONT><FONT
face="Calibri, Verdana, Helvetica, Arial"><BR></FONT><FONT
face=Arial>Regards,<BR></FONT><FONT
face="Calibri, Verdana, Helvetica, Arial"><BR></FONT><FONT
face=Arial>Dan<BR></FONT><FONT
face="Calibri, Verdana, Helvetica, Arial"><BR> <BR></FONT><FONT
face=Arial>RESEARCH SCIENTISTS: We have an immediate opening for multiple
permanent, full-time research scientist positions. Each scientist will
help to design and execute projects in a contract R&D environment by
identifying high-impact research topics in personalized healthcare, selecting or
inventing appropriate computational approaches, developing deliverable prototype
software, and performing data analysis. The positions also involve
interacting with external collaborators and internal Siemens customers, writing
project proposals, supervising interns, and publishing peer-reviewed scientific
papers. Candidates must show evidence of strong programming and
communication skills, have a proven track record of problem solving and
scientific publication, and have the ability to work as part of a team. We
are particularly interested in candidates with computational genomics skills.
These positions require a Ph.D. in Computer Science, Bioinformatics, or a
related discipline. Post-doctoral experience is helpful but not
required.<BR> <BR>INTERNSHIPS: We are seeking interns for projects
involving genomics, gene expression, and mass spectrometry data analysis.
A relevant background in bioinformatics is preferred, but students with
strong skills in machine learning or statistical data analysis who are
interested in bioinformatics will also be considered. Strong programming
and communication skills are required. Internships typically last from 3
to 6 months, and are flexible in terms of starting date and duration. Pay
is commensurate with experience and graduate students are preferred, but truly
exceptional undergraduates may also be considered. SCR maintains a large
internship program, with up to 100 or more students and interns from around the
world on site at any given time. <BR> <BR>Both positions above are in
the Personalized Healthcare research program. The program’s mission is to
integrate all forms of biomedical information in order to enable personalized
diagnosis and treatment of disease, and is exemplified by our project
Health-e-Child (<A
href="http://www.health-e-child.org">http://www.health-e-child.org</A></FONT><FONT
face="Calibri, Verdana, Helvetica, Arial"> <A
href="http://www.health-e-child.org/"><http://www.health-e-child.org/></A>
</FONT><FONT face=Arial>), a 4 year, EU-funded effort to bring advanced
technologies to pediatric care. This project is organized by our
department and is being executed by consortium of fourteen hospitals,
universities, companies, and research facilities. The Personalized
Healthcare program focuses particularly on applications of genomics and
proteomics to clinical medicine, and integrating these new forms of information
with advanced medical imaging and traditional clinical data for personalized
diagnostic and therapeutic decision making.<BR> <BR>ABOUT SIEMENS CORPORATE
RESEARCH (<A
href="http://www.scr.siemens.com):">http://www.scr.siemens.com):</A>
Siemens Corporate Research, Inc. (SCR), based in Princeton, New Jersey,
USA, is one of the world’s premier research labs for computer vision, medical
imaging, and applied machine learning. SCR provides a stimulating
environment for highly talented and self-motivated researchers. SCR excels
in transferring academic research into innovative products, and works in close
collaboration with clinical partners. The lab has more than 250
researchers and over 200 students involved in hundreds of university, clinical,
and government collaborations. SCR is part of Siemens Corporate Technology, a
division comprising 2500+ research scientists in Princeton, Berkeley, Erlangen,
Munich, Berlin, Tokyo, Beijing, Shanghai, Bangalore, St. Petersburg and
Moscow.<BR></FONT><FONT face="Calibri, Verdana, Helvetica, Arial"><BR><BR>------
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