Postdoc: Biophysical Modeling for Advanced qMRI Biomarkers
European Society for Magnetic Resonance in Medicine and Biology
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Job summary
European Society for Magnetic Resonance in Medicine and Biology seeks a highly motivated Postdoctoral Researcher to advance biophysical modeling for qMRI applications, focusing on MCR-MWI and neural network decoding strategies to extract quantitative biomarkers of brain tissue microstructure.
The successful candidate will lead integration of neural networks with multi-compartment relaxometry, work across MRI systems (1.5T, 3T, 7T), and push biomarkers beyond MWF by including vascular and
Qualifications
- PhD in physics, biomedical engineering, medical imaging, computer science, or a related field.
- Expertise in MRI data analysis, biophysical modeling, and/or neural networks.
- Strong programming skills (Python, MATLAB, or similar) and experience with machine learning techniques.
- Familiarity with MRI pulse sequences and quantitative MRI methods (such as DWI, MWI or QSM) is highly desirable.
Responsibilities
- Develop and optimize neural network-based methods for MCR-MWI and Diffusion Informed MWI.
- Collaborate with other team members to test and apply these models to data from different MRI systems and field strengths (1.5T, 3T, 7T).
- Lead efforts to develop biomarkers beyond Myelin Water Fraction (MWF), incorporating new data related to tissue vascularization and metabolic oxygen rates (CMRO2).
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Education
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Job description
European Society for Magnetic Resonance in Medicine and Biology seeks a highly motivated Postdoctoral Researcher to advance biophysical modeling for qMRI applications, focusing on MCR-MWI and neural network decoding strategies to extract quantitative biomarkers of brain tissue microstructure.
The successful candidate will lead integration of neural networks with multi-compartment relaxometry, work across MRI systems (1.5T, 3T, 7T), and push biomarkers beyond MWF by including vascular and
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