[BBC] Postdoc researcher in Bioinformatics/Biostatistics (18-24 months): High Dimensional Integrated Unsupervised and Supervised Analysis of Single Cell RNASeq Data

[BeNeLux bioinformaticians forum]

Dear,

Can you please forward and share the email below with your e-mail list ? It
is about a new Postdoc project in DSI-UHasselt. Please CC me on the email.

Thanks in advance and best regards, ziv shkedy






*The data science institute in Hasselt University announces a position for
a (m/f/x):*
*Postdoc researcher in Bioinformatics/Biostatistics** (18-24 months): **High
Dimensional Integrated Unsupervised and Supervised Analysis of Single Cell
RNASeq Data*



*General information about the project *

The postdoc research project will be conducted in a close collaboration
between the data science institute (DSI,
https://www.uhasselt.be/en/instituten-en/dsi) in Hasselt University and a
global pharmaceutical company. The main objective of the postdoc research
project is to analyze single cell omics data for immune profiling purposes
applied to vaccinology. The project is focused on
algorithm/procedures/software testing and development using publicly and in
house available dataset with application on real vaccine development . Both
parts will be based on single cell omics data generated on *Chromium 10X
Genomics platform*. Data analysis tools and software products that will be
developed in this project would be available as R or Python packages with
full documentation.



*Project  description*

The research project consists of two main tasks:

*Task 1 - Unsupervised analysis:*

1)      To identify the best numerical embedding methods for TCR/BCR
protein sequences in order to merge this feature with other OMICs layers.

2)      To identify methods for single omics and multi-omics clustering
(gene expression, individual TCR sequences, surface proteins) that can
better approximate antigen-specificity.

*Task 2 - Supervised analysis:*

Based on the results obtained in part 1, we will define which of the
identified features may be predictive of antigen specificity and
cross-reactivity.

*Data analysis methods*: cluster analysis for single cell RNAseq data (for
both single and multi-omics setting) , biclustering, classification and
prediction.

*Profile and diploma*

As a postdoc researcher you will join the dynamic functional genomics team
in the data science institute (DSI) in UHasselt and will collaborate with
scientists from both academia and industry. The research work related to
both tasks will be conducted in a close collaboration between DSI and the
pharmaceutical company and the postdoc researcher will work in both
organizations.

 A successful candidate should have

   - PhD in bioinformatics/ statistical bioinformatics/biostatistics (with
   experience of high dimensional data).
   - A PhD whose research  focuses on single cell analysis is an advantage
   but not a must.
   - A PhD whose research is on AI/ML methodologies for unsupervised and
   supervised HD data analysis is a plus.
   - You are acquainted with statistical methodologies and had exposure to
   computer programming in R/Python.
   - You published manuscripts in the area of bioinformatics/biostatistics.
   - You developed software package(s) as a part of your PhD research.
   - You are interested in developing new methodology from both theoretical
   and applied aspects.
   - You are interested in developing software to the pipeline for  data
   analysis and implement this software within a company environment.
   - You are willing to closely collaborate with
   biologists/biostatistians/bioinformations from the pharmaceutical industry.
   - You have a strong interest in working on both vaccine and drug
   development problems.
   - You can work independently and within a team.
   - You have excellent communication skills.
   - You can lead a team of researchers within a project.
   - You enjoy working in a multidisciplinary and multicultural environment.
   - You speak and write English fluently.

*Offer*
The appointment takes effect from January 2024 and at the latest from
March/April 2024 for a period of 18-24 months, depending on the candidate
experience.

*Further information*

Prof. dr. Ziv Shkedy, +32 11-26 82 40, ziv.shkedy at uhasselt.be
<christel.faes at uhasselt.be>


*Application*Applicants must send their application to  ziv.shkedy
@uhasselt.be <christel.faes at uhasselt.be>

*Please add a copy of your PhD diploma and CV (including publication list)
to your application.*

Deadline for the Application 30, March, 2024
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