[BBC] PhD and Postdoc positions KU Leuven Belgium

[Vera van Noort]

van Noort Group is looking for PhD and Postdoctoral fellows

We currently access an unprecedented knowledge on the basic components
making up living systems. An ever growing number of new technologies are
being developed with the capacity to systematically measure the behaviour
of multiple cellular components, such as biochemical activities,
biophysical properties, subcellular localization and interaction. These
technologies produce large amounts of raw data that can be transformed into
information by software and tools developed both in academia and industry.
However, this biological information does not equal biological knowledge.
As biology becomes large-scale, new methods have to be developed to
integrate, visualize and query the large amounts of information available.
This is usually beyond the expertise of experimental labs. The goal of this
young computational systems biology group is to generate biological sense
from the growing amount of biological data becoming available and turn
biological information into biological knowledge.
http://www.biw.kuleuven.be/m2s/cmpg/research/CSB

Position 1:

Mycobacterium tuberculosis (MTB) is the causative agent of tuberculosis. It
is estimated that a third of the world’s population has been infected by
this pathogen, with approximately one new infection per second resulting in
around 9 million new cases of active disease and 1.6 million deaths
annually. The goal of the European project Systems Biology of MTb
(SysteMTb) is to understand this organism better at the molecular level in
conditions that are relevant for infection. Within this project large
amounts of RNA-seq, CHIP-seq, metabolomics and proteomics data are being
generated. The task of the postdoctoral fellow working to be appointed is
to analyse and integrate these data to form hypotheses that can be tested
in the laboratories of our collaborators.

For more information about the project visit http://systemtb.eu or contact
prof. Vera van Noort (vera.vannoort at gmail.com).

In your application please include a CV with research experience and
interests  as well as a minimum of two letters of recommendation.

Starting date: from 1st of October 2013

Position 2:

A specific focus of the newly founded computational biology group will be
Post Translational Modifications (PTMs).  Inside the cell, proteins are the
main entities responsible for carrying out molecular functions. These
proteins can be modified by the addition of small moieties such as
phosphate or acetyl groups. The modifications are called post-translational
modifications (PTMs). These moieties change the properties of proteins and
can thereby cause changes in what substrates they can bind to or what
reactions they catalyse. In response to changes inside or outside an
organism, a cell can quickly adapt by means of these PTMs in signalling
networks. The PhD student will work on the analysis and integration of data
to better understand the functions and mechanisms of PTMs. Requirements
include being able to write scripts in perl/python, working with databases
and basic molecular biology knowledge. Additional expertise such as working
with LINUX, queuing systems and phylogenetic inference methods is certainly
an advantage. For more information contact prof. Vera van Noort (
vera.vannoort at gmail.com).

In your application please include a CV describing coursework, grades and
previous research experience as well as a minimum of two letters of
recommendation.

Starting date: from 1st of October 2013

Position 3:

We seek a PhD student who will work as a computational biologist in the
interdisciplinary project NATAR. Understanding the relationship between an
organism’s genotype and phenotype remains one of biology’s fundamental
challenges. In the project two model organisms, budding yeast and *E.
coli,*will be exploited to better understand two complex genetic
traits: ethanol
and high temperature tolerance*. *For both organisms both natural variation
and the outcomes of experimental evolution will be correlated with
phenotypes. The first challenge in the project will be to identify which of
the many variants in these genomes have functional effects. Then we will
try to facilitate unravelling complex interactions between alleles, for
example through functional gene networks that are based on a combination of
published data. An important part of the generated data that underlies this
project consists of high-throughput sequencing of DNA and mRNA of
populations and isolates. For answering specific questions data integration
with other data sources will be needed as well as the application of
specific machine learning techniques. Basic molecular biology knowledge and
basic programming skills are a prerequisite for this position. Experience
with high throughput sequencing analysis methods, machine learning, protein
interaction databases, perl/python scripting or BioconductoR are preferred.
For more information contact prof. Rob Jelier (r.jelier at gmail.com) or prof.
Vera van Noort (vera.vannoort at gmail.com).

In your application please include a CV describing coursework, grades and
previous research experience as well as a minimum of two letters of
recommendation.

Starting date: from 1st of October 2013




-- 
Vera van Noort, PhD
EMBL - Structural and Computational Biology
Meyerhofstrasse 1
69117 Heidelberg
Germany

from October 2013:
Centre of Molecular and Plant Genetics
Department of Microbial and Molecular Systems (M2S)
KU Leuven
Kasteelpark Arenberg 20
3001 Leuven
Belgium
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