Postdoc: Grass Leaf Development in Stomata Patterning

Kanton Bern; Bern; Vor Ort; CHF 80.000 - 110.000; Vollzeit

Benefits dieser Stelle

Research infrastructure

Collaborative culture

Central Bern location

Access to cutting-edge technology

Zusammenfassung

Institute of Plant Sciences at the University of Bern invites applications for a fully funded post-doctoral position (2 years, extension possible) in the Stomatal Biology group. The project investigates how grasses pattern stomata and veins using single-cell genomics, live imaging, and biochemistry.

We seek a PhD in plant biology or related field with strong molecular genetics, microscopy and cell biology skills; experience with grass species and spatial transcriptomics is a plus.

Qualifikationen

• Completed PhD in plant biology, developmental biology, molecular biology or related field.
• Proficient written and oral English skills.
• Solid experience in (plant) molecular genetics, microscopy, and cell biology.
• Experience with model grass species and plant signaling is an advantage.

Aufgaben

• Investigate how grass leaves coordinate vein and stomata development using spatial genomics, imaging, genetics and biochemistry.
• Collaborate within the CSCS research unit to advance understanding of stomatal patterning under field-relevant conditions.

Kenntnisse

English (written and spoken)

Plant molecular genetics

Microscopy

Cell biology

Single-cell/spatial transcriptomics

Ausbildung

PhD in plant biology or related field

Tools

Microscopy

Protein biochemistry

Single-cell/spatial transcriptomics

Jobbeschreibung

Institute of Plant Sciences at the University of Bern invites applications for a fully funded post-doctoral position (2 years, extension possible) in the Stomatal Biology group. The project investigates how grasses pattern stomata and veins using single-cell genomics, live imaging, and biochemistry.

We seek a PhD in plant biology or related field with strong molecular genetics, microscopy and cell biology skills; experience with grass species and spatial transcriptomics is a plus.