PhD Scholarship: Isoform-Level Omics Analysis

DTU Sundhedsteknologi (Kgs. Lyngby); Kongens Lyngby; On-site; DKK 400,000 - 450,000; Full time

Job summary

DTU Health Tech in Denmark invites applications for a PhD scholarship focused on isoform-level omics analysis. You will conduct method development and applied analyses, collaborating with colleagues in a supportive, autonomous environment at the Isoform Analysis group of the Bioinformatics Section.

The program emphasizes practical impact and scientific rigor, with enrolment subject to DTU rules. Applicants should hold a two-year Master’s in bioinformatics or equivalent, have strong R/Python

Qualifications

• Excellent programming skills in R and Python.
• Experience with the applied analysis of single-cell RNA-sequencing data, evidenced by publications.
• Experience developing, benchmarking, and validating bioinformatics tools and computational methods, evidenced by publications.
• Applied experience with isoform analysis using transcriptomics and proteomics data.
• Experience with reproducible computational research, including version control, Unix/Linux, and HPC.
• Experience in collecting, organizing, integrating, and analyzing large and complex biological datasets.
• Must have a two-year Master’s degree in bioinformatics or equivalent.

Skills

R and Python

Single-cell RNA-seq analysis

Bioinformatics tool development

Reproducible research

Data integration with large datasets

Unix/Linux and HPC

Version control

Education

Two-year Master’s degree in bioinformatics or equivalent

Tools

Unix/Linux environments

High-Performance Computing (HPC)

Job description

DTU Health Tech in Denmark invites applications for a PhD scholarship focused on isoform-level omics analysis. You will conduct method development and applied analyses, collaborating with colleagues in a supportive, autonomous environment at the Isoform Analysis group of the Bioinformatics Section.

The program emphasizes practical impact and scientific rigor, with enrolment subject to DTU rules. Applicants should hold a two-year Master’s in bioinformatics or equivalent, have strong R/Python