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formation and changes occurring during processing and digestion. The starting date is November 1st 2025, or subject to mutual agreement. The research project To respond to some of the most critical societal
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We are seeking a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image
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, and positioning for subsequent fundraising and go-to-market activities Actively contribute to securing follow-up funding together with the fundraising team Your profile University degree (MSc or PhD) in
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. The candidate is expected to have extensive experience with extracellular electrophysiology, immunofluorescence imaging, circuit tracing, behavioral testing and patch clamp recording. An important component of
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the etiology of Cancer development, focusing on how deregulation of DNA motor proteins contributes to this process. Significant experience in protein purification and biochemistry is necessary for this position
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fluorescence-lifetime detection (Fast-FLIM) and temporal focusing. This instrument will deliver quantitative, sub-second imaging of live three-dimensional cell-culture and organoid models, advancing fundamental
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experience in image data processing and analysis Familiarity with femtosecond/picosecond lasers and safe alignment practice. Clear, timely communicator who enjoys collaborating across physics, engineering and
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successful completion of a background check. A drug screen or physical may be required during the post offer process. Additional Information: Job Requirements: Required: PhD in computer science, biomedical
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. The knowledge gained using our “tumor ecology” paradigm will be translated into improvements in cancer prevention, diagnosis and therapy. Responsibilities Perform cell culture and tumorigenic assays with cancer
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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image