Publisher
source

Universität Duisburg-Essen

PhD Positions in Bioinformatics, scRNA-seq and Spatial Transcriptomics University of Duisburg-Essen in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Germany

University

Universität Duisburg-Essen

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Keywords

Computer Science
Biomedical Engineering
Biology
Statistical Analysis
Single-cell Analysis
Statistics
Bioinformatic
Spatial Transcriptomic
Machine learning

About this position

Two PhD positions are available in Bioinformatics for highly motivated candidates interested in single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics.

The research focuses on applying established analytical pipelines and machine learning approaches to answer biological questions using modern omics data. This is a strong fit for applicants with experience in computational biology, transcriptomics data analysis, and related quantitative methods.

The post is associated with the University of Duisburg-Essen / Universitätsklinikum Essen context, and the announcer is Nour Awad, a doctoral researcher in bioinformatics. Interested candidates are invited to get in touch so the application can be forwarded to the Principal Investigator.

Eligibility highlights: strong experience and knowledge in scRNA-seq and spatial transcriptomics; motivation to join a research group; readiness to work on computational analysis and machine learning for biological data.

Application: contact the poster via the LinkedIn profile/link provided in the post. No deadline, funding details, or formal application portal were specified.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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