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sufficient to modulate interaction phenomena. This will make it possible to discriminate between hydromechanical and chemomechanical couplings. Finally, the combination of multimodal imaging techniques during
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tracers. Specifically, you will use clinical molecular imaging data in combination with numerous methods (i.e., AI image analyses, PBPK modeling, immunohistochemistry, FACS). As a postdoctoral researcher
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records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field
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-in-the-loop proofreading of automated cell reconstructions, active-learning approaches for efficient annotation, and self-supervision approaches for tokenizing image datasets and cell reconstructions
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 1 month ago
Job Code: PostDoc 11/25 Job Offer from September 26, 2025 For our research group “Cognitive Neuropsychiatry” at the Max Planck Institute for Human Cognitive and Brain Sciences, Department
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: Qualifications required: The candidate must have a PhD's degree in Biophysics, Biology, Bioengineering or equivalent. Expertise in image/data analysis and coding is required (Python, Image J). Experience in cell
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BioNanoImaging Foundry (BNIF, Building 50, Triolet campus). The BNIF is a cutting-edge technological environment dedicated to multimodal imaging, equipped with high-field MRI scanners (9.4 T, 3 T horizontal
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culture and maintenance of various cell lines Quantitative PCR (qPCR) Flow cytometry for cellular phenotyping and analysis Confocal microscopy for high-resolution imaging ELISA (Enzyme-Linked Immunosorbent
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You will develop and validate advanced AI models that integrate medical imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC
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will develop and exploit mesoscopic, and multiscale computational models to assist medical applications of ultrasound-guided drug and gene delivery and imaging. The project focus are the encapsulated