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See <a class="moz-txt-link-freetext"
href="https://ki.mynetworkglobal.com/en/what:job/jobID:30300/where:4/">https://ki.mynetworkglobal.com/en/what:job/jobID:30300/where:4/</a><br>
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<div class="textContent">Note: Last application date:09.Jan.2014</div>
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<div class="topBannerText"><b>Postdoctoral Scientist in
Bioinformatics</b></div>
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<div style="margin-top:10px;">The position is within an
interdisciplinary team in the project “DIfferential Response
by INtra Tumour Heterogeneity (DIRINTH)” headed by Thomas
Helleday, Joakim Lundeberg, and Erik Sonnhammer at <a><span>Science
for Life Laboratory</span></a> in Stockholm, Sweden. This
project recently received funding for five years from
AstraZeneca, and aims at mapping gene expression differences
within solid tumors at the single cell level.
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<p>The project will generate a gene expression profile for
each cell in a matrix of a tissue section, where the
matrix contains up to 135000 cells. Analysis of this data
needs to be automated, and a bioinformatics groups is
being established to build infrastructure to store and
analyse the data. This position is mostly focussed on
analysing the expression profiles to identify activated
and deactivated pathways in a given cell type. To this
end, novel statistical methods will be used, such as
Network Crosstalk Enrichment Analysis (NCEA), in
combination with traditional gene enrichment analysis
(GEA). These will be combined with network module
clustering using the MGclus method.</p>
<p>Specific aims:</p>
<p>Develop a pathway annotation pipeline for gene expression
data based on NCEA, GEA, and MGclus.</p>
<p>Integrate the pathway annotation pipeline into the
workflow of ST analysis.</p>
<p>Apply the pathway annotation pipeline to ST data, to be
able to functionally characterize activated and
deactivated pathways in different cell types.</p>
<p>Build a knowledge database for storing and mining ST
data, pathway annotations, and external annotations, using
standardized interfaces to analysis algorithms and
methods.</p>
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<b>Entry requirements<br>
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<p>The successful candidate should have a Ph.D. in
bioinformatics or related field, and detailed knowledge of
molecular biology. Familiarity with high throughput data
analysis techniques is essential, as well as a high level
of motivation. Computer programming skills and knowledge
of biological database systems are important merits.</p>
<p><span></span>A person is eligible for a position
as postdoctoral research fellow if he or she has obtained
a PhD no more than seven years before the last date of
employment as postdoc.<br>
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<b>Application process<br>
</b>An employment application must contain the following
documents in English or Swedish:</p>
<ol>
<li>A complete curriculum vitae, including date of the
thesis defence, title of the thesis, previous academic
positions, academic title, current position, academic
distinctions, and committee work</li>
<li>A complete list of publications</li>
<li>A summary of current work (no more than one page)</li>
<li>Verifications for crediting of illness, military
service, work for labour unions or student
organisations, parental leave or similar circumstances</li>
<li>Verification from the thesis defence committee or the
equivalent (only if the thesis defence is scheduled
within three months after the application deadline)</li>
</ol>
<p>The application is to be submitted on the NetRecruiter
system, see See <a class="moz-txt-link-freetext"
href="https://ki.mynetworkglobal.com/en/what:job/jobID:30300/where:4/">https://ki.mynetworkglobal.com/en/what:job/jobID:30300/where:4/</a><br>
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