
Postdoctor in Single-cell and functional genomics applied to Diabetes
- Göteborg
- Permanent
- Heltid
- Develop and optimize protocols for high-resolution spatial transcriptomics and gene expression profiling in pancreatic tissue slices
- Perform live tissue imaging, calcium imaging, electrophysiological measurements, and pharmacological perturbation assays
- Execute single-cell and spatial omics protocols using high-throughput liquid handling platforms
- Analyze spatial and single-cell omics data using computational tools, including machine learning approaches
- Implement and manage workflows for large-scale data processing on high-performance computing systems
- Design and perform validation experiments through tissue imaging, molecular assays, and functional readouts
- Present findings in group meetings and international conferences, and contribute to manuscript preparation
- Support supervision and mentorship of junior researchers and students in the lab
- A PhD in molecular biology, physiology, bioinformatics, mathematics, or other quantitative biosciences.
- Experience in one or more of the following areas:
- Single-cell and spatial transcriptomic methods
- Scientific programming in Python and/or R
- Machine learning or deep learning frameworks (e.g., PyTorch, TensorFlow)
- Pancreatic physiology, including islet isolation, slice preparation, and functional assays
- Electrophysiology and/or live tissue calcium imaging
- Molecular biology techniques (e.g., qPCR, ELISA, immunohistochemistry, library preparation)
- Strong motivation in working at the interface of experimental and computational biology
- Ability to think independently, troubleshoot creatively, and collaborate in a highly interdisciplinary team
- Excellent written and oral communication skill in English