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imaging and spatial omics instruments. Work closely with users to understand image/data acquisition pipelines and inform computational processing accordingly. Support users in experimental design
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Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried | Germany | about 6 hours ago
. Demonstrated interest in animal research, particularly rodent models (experience with mouse handling or physiology is an advantage). Experience with MRI data processing, image reconstruction, pipeline
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volume correlation processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 11 days ago
Contribute to advancing the MiROS technology from prototype to real-world application Your profile PhD (or MSc with strong experience) in electrical engineering, physics, biomedical engineering, computational
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: PhD in CS/ML/medical informatics, strong publication record, and hands-on experience with generative models in medical imaging. Postdoctoral Research Associate (f/m/d) EU Research Project TWIN-X Full
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methodological reference framework for functional measurements on liver and heart sections. Skills and Requirements Excellent Master’s degree and PhD in biology, nutrition science, medicine, or a related
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immune responses By combining transcriptomics, immunohistochemistry, advanced imaging, and physiological assays across, we aim to elucidate the fundamental processes underlying the evolutionary success and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 28 days ago
biomedical imaging applications Your profile Master’s degree or PhD in Physics, Optical Engineering, Photonics, Quantum Engineering, Biomedical Engineering, or a closely related field, with a focus on quantum
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multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with
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Package: Actively participate in a participant-driven co-design process to develop a framework for returning molecular and imaging data to study participants Contribute scientific content to patient