[BBC] Postdoc position in ML for single-cell network inference, Ghent University

[Yvan Saeys]

A postdoctoral position on machine learning for single-cell regulatory 
network inference
is available at the Yvan Saeys lab at VIB/Ghent University, Belgium

Application can be done online at: https://jobso.id/e47k

About the lab
The Data Mining and Modeling for Biomedicine group (headed by Yvan 
Saeys) at the VIB Center for
Inflammation Research and Ghent University is located in the historical 
city of Ghent, Belgium.
The Saeys lab is at the forefront of computational method development in 
single-cell omics, and
has a longstanding collaboration with many wet labs in immunology, 
oncology and plant biology.
Recently, the lab has started a single-cell facility with advance access 
to the newest single-cell
multi-omics technologies (scRNA-seq, scATAC-seq, CITE-seq, and spatial 
proteomics and transcriptomics).
A major focus of the lab is to model the dynamics of biological systems, 
and characterize their
underlying gene regulatory networks.  To this end, the lab develops new 
computational machine
learning methods to improve the current state-of-the-art.

Description
The VIB-UGent Center for Inflammation Research (IRC) aims at unravelling 
the mechanisms of immunity and
inflammation for better prevention and therapy of human chronic disease. 
Several high-end core facilities
support and improve our research activities: microscopy, flow cytometry, 
transgenesis, cell culture,
recombinant protein technology, single cell. For more information, 
please visit: https://www.irc.ugent.be
The University of Ghent is a sustainable, family-friendly organization, 
which invests in its employees’ growth.
We encourage diversity and attach great importance to an inclusive 
working environment and equal opportunities,
regardless of gender identity, disability, race, ethnicity, religion or 
belief, sexual orientation or age.
We encourage people from diverse backgrounds and with diverse 
characteristics to apply.
The successful candidate will be responsible for developing novel 
methods (including trajectory inference and
gene regulatory network inference) on single-cell omics data.  The 
current position is part of a collaboration
with BASF, a leading company in the plant biotechnology field, and the 
lab of Bert De Rybel at the VIB Center
of Plant Systems Biology.
The applicant should be highly motivated and passionate about driving 
and performing research and associated
tasks and be able to work independently. The person will collaborate 
with PhD students and technicians to
increase the impact of the research efforts. The position can be started 
from October 1 onwards.

Profile
•    You obtained a PhD in Bioinformatics, Computer Science, Physics, 
Engineering, Bio-engineering, or equivalent.
•    Excellent track record in machine learning applied to the field of 
Bioinformatics
•    Solid programming experience is required (Python, R).
•    Experience with machine-learning/statistical analysis is required
•    Experience with plant research and/or population genetics is a plus.
•    Ability to work independently and in a team.


We offer
•    Access to state-of-the-art compute infrastructure
•    A stimulating international research environment
•    Competitive salary and benefits
•    Financial support for 2 years.

Starting date: as soon as possible

How to apply?
https://jobso.id/e47k
Please complete the online application procedure and include a detailed 
CV, two reference letters, and a
motivation letter.
For more information: yvan.saeys at ugent.be

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Prof. dr. Yvan Saeys
VIB Group Leader Data mining and modeling for biomedicine

UGent Department of Applied Mathematics, Computer Science and Statistics
Krijgslaan 281, S9, B-9000 Gent
Inflammation Research Center, a VIB-UGent Department
Technologiepark-Zwijnaarde 71 , B-9052 Zwijnaarde , Belgium

Tel : +32(0)9 331 37 40 Fax : +32(0)9 221 76 73
Mailto: yvan.saeys at ugent.be   http://www.dambi.ugent.be
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