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).
Skills
Education
Tools
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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