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18th October 2026 Languages English English English The Department of Physics has a vacancy for a PhD Candidate in AI-assisted medical imaging with MRI Apply for this job See advertisement Are you
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Curious about how dense particle flows defy the usual rules of laminar and turbulent motion? Join our ERC project and use MRI to uncover these flows. Job description Inertial Dense Suspensions (IDeS
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magnetic resonance imaging (Flow MRI) is a powerful and non-invasive imaging technique that measures blood flow in time and space. It provides vital insights into key metrics for cardiovascular disease
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 20 days ago
interacts with the prefrontal cortex to integrate interoceptive signals and guide higher-order cognition. Combining ultra-high-field layer fMRI at 9.4 Tesla, diffusion MRI, and machine learning in humans with
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MRI, high-resolution confocal microscopy and electron microscopy. Develop and refine imaging analysis pipelines, using appropriate software, quantitative approaches and innovative analytical methods
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 4 hours ago
for: Analysis of phenotypic, microscopic, PET/MRI, MALDI-MSI, and LC-MS/MS data Development of AI-based models for personalized risk assessment Validation and application of model performance using established
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twin of the face using the finite element method and multimodal MRI data. A multiscale active constitutive law for facial muscles will be developed to describe different contraction patterns
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across the lifespan. Combining state-of-the-art multimodal MRI techniques with behavioral research, we quantify changes in white and gray matter organization, myelination, and brain function to investigate
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cellular changes. Advanced imaging techniques, including structural and functional-MRI, developed by Dr. Emmanuel Barbier (GIN director), will be used to optimize rSynES and monitor neuronal changes over
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organisation, while MRI metabolic imaging offers a patient-scale perspective on related metabolic and invasive phenotypes. This PhD research will be carried out at the IBGC as part of the ShadowEV-GBM