PostDoc in Bioinformatics / Computational Biology

University of Luxembourg

Luxembourg

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source : Euraxess

OFFER DESCRIPTION

We seek a highly motivated bioinformatician or computational biologist who is well versed in the analysis of biological data and bioscientific programming for a project on the study of neurodegenerative disorders.

The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical or neuroimaging data), using statistical methods, pathway / network analysis and machine learning.

The candidate will conduct integrative stratification analyses, focusing on omics and clinical data, and digital sensor or neuroimaging data for neurodegenerative diseases.

This will include the review, set-up and application of software analysis pipelines, and the joint interpretation of disease-related data together with experimental and clinical collaborators.

The project will use new biological high-throughput data from patients, healthy controls, as well as in-vitro and in-vivo disease models.

With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease-associated alterations in common neurological disorders.

More Information

Additional Information

We offer

A fully funded position with a highly competitive salary.

An opportunity to join the Luxembourg Centre of Systems Biomedicine with an international and interdisciplinary ethos.

Working in a scientifically stimulating, innovative, dynamic, well- equipped, and international surrounding.

Opportunity to work closely with international academic partners.

State-of-the-art research facilities and computational equipment

Offer Requirements

Skills / Qualifications

Your Profile

The candidate will have a PhD or equivalent degree in bioinformatics, computational biology, biostatistics or related subject areas

Prior experience in large-scale data processing and statistics / machine learning is required

A track record of previous publications in bioinformatics analysis of large-scale biological data omics, clinical, structural bioinformatics, neuroimaging data) should be outlined in the CV

Demonstrated skills and knowledge in next-generation sequencing data analysis, biostatistics, machine learning, pathway and network analysis are highly advantageous

The candidate should have a cross-disciplinary aptitude, strong organizational and interpersonal skills, and a keen interest in collaborative biomedical research

Fluency in oral and written English

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