Image Analysis Position in High-throughput microscopy
We are looking for a highly motivated person interested in translational cancer research and image analysis employing high-throughput microscopy. The project aims to map the microenvironment of brain tumors by coupling mouse models, MRI, iDISCO+, and high-resolution light-sheet microscopy.
Research group:
Our lab studies the roles of tumor suppressors and oncogenes in glioma initiation and progression.We use primary tumor models, single-cell genomics, and next-generation sequencing approaches to identify potential vulnerabilities that can be utilized for targeted therapies.
Project details:
The researcher will join the Turcan laboratory at University Hospital, Heidelberg, Germany. The project is DFG-funded and initially limited to 2 years, with the possibility of extension for 2 additional years. The work includes high-throughput light-sheet microscopy to map the brain tumor microenvironment. We plan to establish analytical pipelines for automated detection of cell types and morphologies, along with their 3D spatial distribution.
Two recent papers using high-throughput microscopy from our collaborator involved in this project.
https://pubmed.ncbi.nlm.nih.gov/34788609/
https://pubmed.ncbi.nlm.nih.gov/33443190/
Eligibility requirements:
– Bachelor’s or master’s degree in computer science or biology with a focus on extensive data handling/image analysis.
– Experience with imaging data analysis. Preferentially the candidate should be experienced in Matlab, and Python with machine learning applications.
– Strong interest in interdisciplinary research.
– Enthusiastic and highly motivated team player.
– Excellent communication skills in spoken and written English.
Tagged as: Life Sciences
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