Ali Maximilian Ertürk
2 months ago
Postdoctoral Position in Tissue Clearing & 3D Histopathology for Cancer Imaging Ludwig Maximilian University of Munich in Germany
Degree Level
Postdoc
Field of study
Biomedical Engineering
Funding
No explicit funding details provided. The post mentions an intellectually stimulating environment, flexible work schedules, and career development programs, but does not specify stipend, salary, or funding type.
Deadline
Expired
Country
Germany
University
Ludwig Maximilian University of Munich

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About this position
The Ertürk Lab at Helmholtz Munich, led by Professor Ali Maximilian Ertürk, is recruiting a Postdoctoral Scientist to advance research in tissue clearing and 3D histopathology, with a focus on cancer imaging. The position is based at Ludwig Maximilian University of Munich, Germany, and offers the opportunity to work in a cutting-edge environment at the intersection of medical science, biology, and biomedical engineering.
Key responsibilities include developing and optimizing tissue-clearing protocols for human cancer samples, performing 3D microscopy using light sheet and confocal systems, and collaborating with computational scientists to integrate multi-modal datasets and quantitative readouts. The role also encourages innovation in experimental approaches for cancer tissue clearing.
Applicants should have strong hands-on expertise in tissue processing, H&E/IHC/IF staining, and experience handling biological imaging datasets. Prior experience with colorectal cancer biology and supervising junior colleagues is highly advantageous. The lab provides an intellectually stimulating environment, flexible work schedules, and extensive career development programs.
To apply, candidates should email their CV, transcripts, and motivation letter to [email protected] and [email protected] by December 31, 2025. For more information about the lab and research interests, visit the Ertürk Lab academic page. This opportunity is ideal for postdoctoral researchers interested in advanced cancer imaging, tissue clearing, and collaborative interdisciplinary research.
Funding details
No explicit funding details provided. The post mentions an intellectually stimulating environment, flexible work schedules, and career development programs, but does not specify stipend, salary, or funding type.
What's required
Candidates must have strong hands-on expertise in tissue processing, H&E/IHC/IF staining, and handling biological imaging datasets. Experience with colorectal cancer biology and supervising junior colleagues is highly advantageous. Applicants should be highly motivated and able to collaborate with computational scientists.
How to apply
Email your application including CV, transcripts, and motivation letter to [email protected] and [email protected] by 31.12.2025.
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