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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. The research group “Behavioral Neuroscience” focuses on decoding the exact mechanisms behind
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fibrosis. Together with the department of surgery, focusing on vascular surgery, we aim to to ulitse high-throughput biomaterial screening to identify the optimal physicochemical surface properties
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. This work covers three main areas: Data Rescue – enhancing the joint WMO–C3S data rescue portal, developing a prototype image repository, improving the Data Deposition Service, and developing innovative
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and talented optics engineer to design, build, and implement novel optical devices for brain-wide imaging and neural circuit manipulation. Key Responsibilities: Develop advanced optical systems
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Position Summary The postdoctoral fellow will develop artificial intelligence applications to support characterization of medical data with a focus on radiology image, radiology reports, and
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will increase to Grade 6. Desirable criteria Experience in cellular cryo-electron tomography sample preparation, data collection and image processing Experience in focussed ion-beam milling (FIBSEM
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programming skills Preferred Qualifications Track record of top-tier machine learning publications Experience with machine learning on medical images Experience designing language model or vision–language model
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working on XAI and metadata creation, including both image and text analysis. You will organise benchmarks that assess AI technologies, particularly in the domain of newspapers, both current and historic
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imaging. A successful postdoctoral candidate should have a Ph.D. in the relevant field with a strong background in LC-MS/MS. Some bioinformatics expertise is preferred but not required. More details about
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accreditation • Proven experience working with animal models • Extensive expertise in histological and imaging techniques, including confocal microscopy • Proficiency in image analysis software (e.g., ImageJ