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Field
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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 | about 1 month 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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work at the interface between computational spatial omics, single-cell mass spectrometry (MS)-based proteomics, multiplex imaging, and bioinformatics. We have recently co-developed Deep Visual Proteomics
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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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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 10 days ago
using functional MRI or ultrasound imaging. The Max Planck Institute for Biological Cybernetics conducts research that elucidates neurological processes across various organizational scales via
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. Responsibilities include: Designing and executing behavioral learning paradigms with social and non-social reinforcement In vivo calcium imaging during learning and sleep Quantitative analysis of neural activity
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use of magnetometric methods and static and dynamic domain imaging techniques. The qualification position has a teaching obligation of 4 weekly lecture hours, for example by lecturing, exercises
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experimental teams to integrate transcriptomic and imaging data with computational models and actively contribute to experimental design. Contribute to publications in high-impact journals and present findings