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<p><font size=3 face="Times New Roman"><span style='font-size:12.0pt'>Applications
are invited for a Research Associate in text mining for a period of 36 months.
The post is available from 1st June 2009. The candidate will work within a
project funded by BBSRC on Automated Biological Event Extraction from the
Literature for Drug Discovery in cooperation with AstraZeneca.<br>
<br>
The aims of the project are to customize deep semantic text mining techniques
to extract protein-bioprocess associations automatically; to extract biological
events pertaining to protein-disease associations from the literature; to
support the semi-automatic production of annotated texts pertaining to
biological information for text mining applications; and to produce a text
mining service supporting biologists researching into protein-bioprocesses.<br>
<br>
The project will extend and customise the National Centre for Text Mining tools
to support bio-text mining research. The successful candidate will be part of a
strong and dynamic team of 16 people in text mining and will work closely with
the co-located team of the National Centre for Text Mining which is hosted by
the <st1:place w:st="on"><st1:PlaceType w:st="on">School</st1:PlaceType> of <st1:PlaceName
w:st="on">Computer Science</st1:PlaceName></st1:place>. <br>
The <st1:place w:st="on"><st1:PlaceType w:st="on">School</st1:PlaceType> of <st1:PlaceName
w:st="on">Computer Science</st1:PlaceName></st1:place> is a leading centre for
research in Computer Science nationally and internationally. <br>
<br>
Applicants must have a PhD in Computer Science and a good first degree (minimum
2:1) in an area relevant to the job description; they must have excellent
software engineering skills and be able to develop algorithms and software for
NLP/TM systems; the ability to produce experiments for bio-text mining
applications using large data sets; excellent knowledge of text mining
preferably using machine learning techniques and in particular event
recognition, parsing technologies, named entity recognition, information
extraction for biomedical applications; excellent knowledge of C, C++, Java,
XML, Linux and Web Services. A good publication record would be an advantage.<br>
<br>
Successful candidates should have research experience in the areas of bio-text
mining, named entity recognition, parsing technologies and information
extraction.<o:p></o:p></span></font></p>
<p><font size=3 face="Times New Roman"><span style='font-size:12.0pt'>For more
information see the following website(s):<o:p></o:p></span></font></p>
<ul type=disc>
<li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;
mso-list:l1 level1 lfo3'><font size=3 face="Times New Roman"><span
style='font-size:12.0pt'><a
href="http://www.cs.manchester.ac.uk/aboutus/news/archives/2008/12-18-08_RAE/">http://www.cs.manchester.ac.uk/aboutus/news/archives/2008/12-18-08_RAE/</a><o:p></o:p></span></font></li>
<li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;
mso-list:l1 level1 lfo3'><font size=3 face="Times New Roman"><span
style='font-size:12.0pt'><a
href="http://%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20www.nactem.ac.uk">www.nactem.ac.uk</a><o:p></o:p></span></font></li>
</ul>
<p><font size=3 face="Times New Roman"><span style='font-size:12.0pt'>Closing
date: 15/04/2009<br>
Reference: EPS/90378<o:p></o:p></span></font></p>
<p><font size=3 face="Times New Roman"><span style='font-size:12.0pt'><a
href="http://www.manchester.ac.uk/aboutus/jobs/research/vacancy/index.htm?ref=153075">http://www.manchester.ac.uk/aboutus/jobs/research/vacancy/index.htm?ref=153075</a><o:p></o:p></span></font></p>
<p><font size=3 face="Times New Roman"><span style='font-size:12.0pt'>Informal
enquiries to: Sophia Ananiadou <o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 face="Times New Roman"><span style='font-size:
11.0pt'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 face="Times New Roman"><span style='font-size:
11.0pt'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=1 face="Times New Roman"><span style='font-size:
7.5pt'>=========================================================</span></font><o:p></o:p></p>
<p class=MsoNormal><font size=2 face="Times New Roman"><span style='font-size:
10.0pt'>Dr Sophia Ananiadou, Reader in Text Mining, School of Computer Science</span></font><o:p></o:p></p>
<p class=MsoNormal><font size=2 face="Times New Roman"><span style='font-size:
10.0pt'>Director, National Centre for Text Mining, </span></font><a
href="http://www.nactem.ac.uk"><font size=2><span style='font-size:10.0pt'>www.nactem.ac.uk</span></font></a><o:p></o:p></p>
<p class=MsoNormal><font size=2 face="Times New Roman"><span lang=IT
style='font-size:10.0pt'>Manchester Interdisciplinary Biocentre, </span></font><a
href="http://www.mib.ac.uk"><font size=2><span lang=IT style='font-size:10.0pt'>www.mib.ac.uk</span></font></a><font
size=2><span lang=IT style='font-size:10.0pt'>,</span></font><span lang=IT><o:p></o:p></span></p>
<p class=MsoNormal><st1:place w:st="on"><st1:PlaceType w:st="on"><font size=2
face="Times New Roman"><span style='font-size:10.0pt'>University</span></font></st1:PlaceType><font
size=2><span style='font-size:10.0pt'> of <st1:PlaceName w:st="on">Manchester</st1:PlaceName></span></font></st1:place><o:p></o:p></p>
<p class=MsoNormal><st1:place w:st="on"><st1:City w:st="on"><font size=2
face="Times New Roman"><span style='font-size:10.0pt'>131</span></font></st1:City><font
size=2><span style='font-size:10.0pt'> Princess Street, <st1:PostalCode w:st="on">M1
7DN</st1:PostalCode></span></font></st1:place><o:p></o:p></p>
<p class=MsoNormal><font size=3 face="Times New Roman"><span style='font-size:
12.0pt'><a href="http://personalpages.manchester.ac.uk/staff/sophia.ananiadou/"><font
size=2><span style='font-size:10.0pt'>http://personalpages.manchester.ac.uk/staff/sophia.ananiadou/</span></font></a></span></font><font
size=2><span style='font-size:10.0pt'> </span></font><o:p></o:p></p>
<p class=MsoNormal><font size=3 face="Times New Roman"><span style='font-size:
12.0pt'><a href="mailto:sophia.ananiadou@manchester.ac.uk"><font size=2><span
lang=DE style='font-size:10.0pt'>sophia.ananiadou@manchester.ac.uk</span></font></a></span></font><font
size=2><span style='font-size:10.0pt'> </span></font><span lang=DE><o:p></o:p></span></p>
<p class=MsoNormal><font size=2 face="Times New Roman"><span lang=DE
style='font-size:10.0pt'>tel: +44 161 306 3092</span></font><span lang=DE><o:p></o:p></span></p>
<p class=MsoNormal><font size=3 face="Times New Roman"><span lang=DE
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<p class=MsoNormal><font size=3 face="Times New Roman"><span lang=DE
style='font-size:12.0pt'><o:p> </o:p></span></font></p>
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