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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 | 10 days 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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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 23 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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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
and instrumentation components into a novel biomedical imaging platform Implement and optimize system architectures, including optical setups, control systems, and measurement pipelines Characterize
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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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of miniaturized imaging technologies. Your Profile: The successful applicant must have the following: • Ph.D. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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. The project aims to significantly accelerate the adoption of quantum approaches within life sciences and demonstrate their transformative potential for biomedical imaging. Your Profile: The successful applicant
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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
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, imaging). • Solid foundations in signal processing and statistics. • Experience with machine learning for regression (e.g., tree-based methods, neural networks) • Hands-on experimental skills: ability and