Postdoc in Microbial Single-Cell Genomics & Transcriptomics

University of Copenhagen; København; In loco; DKK 420.000 - 540.000; Tempo pieno

Descrizione del lavoro

University of Copenhagen invites applications for a full-time 24-month postdoctoral position in the Social Systems Microbiology group, part of the Section of Microbiology, Department of Biology. The project focuses on single-cell transcriptomics and genomics of prokaryotes and optimizing protocols to capture extrachromosomal elements and transcripts.

The work blends wet-lab development with sequencing and data analysis across bacteria and archaea, emphasizing method development and discovery in

Competenze

• PhD in microbiology or closely related field required.
• Hands-on molecular methods and sequencing library prep experience required.
• Basic bioinformatics skills (R/Python) for sequencing data analysis.
• Excellent written and spoken English; ability to work independently and in a team.
• Experience with prokaryotic single-cell omics is a strong advantage.

Mansioni

• Cultivate and work with diverse bacteria and archaea.
• Develop and optimise protocols for isolating and sequencing extrachromosomal DNA and transcripts.
• Apply single-cell transcriptomic/genomic approaches to prokaryotes.
• Quantify DNA/RNA with qPCR and digital PCR; perform bulk sequencing.
• Analyse sequencing data, publish results, contribute to group environment.

Conoscenze

PhD in microbiology

Molecular biology

DNA/RNA sequencing

Bioinformatics (R/Python)

Independent work

English proficiency

Single-cell omics

Protocol development

Culturing bacteria/archaea

Formazione

PhD in microbiology

Molecular biology

Strumenti

DNA sequencing

RNA sequencing

Descrizione del lavoro

University of Copenhagen invites applications for a full-time 24-month postdoctoral position in the Social Systems Microbiology group, part of the Section of Microbiology, Department of Biology. The project focuses on single-cell transcriptomics and genomics of prokaryotes and optimizing protocols to capture extrachromosomal elements and transcripts.

The work blends wet-lab development with sequencing and data analysis across bacteria and archaea, emphasizing method development and discovery in