Inside Higher Ed · 1 day ago
Post-Doctoral Fellowship in Advanced MR Spectroscopy
Baltimore, MD
Full-time
Onsite
Senior LevelThe Johns Hopkins University School of Medicine is inviting applications for a two-year Postdoctoral Fellowship in Advanced MR Spectroscopy. The fellow will work on NIH-funded research projects aimed at developing novel data processing methods for in-vivo MR spectroscopy and applying these methods to improve metabolite concentration estimation in the human brain.
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Responsibilities
Advance our newly-developed general linear-combination model
Develop appropriate quantitative metrics to evaluate which model is the best one (quantitative information criteria)
Develop new sampling methods (based on Markov Chain Monte Carlo methods) to solve optimization problems and characterize the uncertainty of the modeling
Acquire MRS data in healthy volunteers, as well as patients with brain tumors and other disorders
Integrate the newly-developed methods for dissemination via the "Osprey" platforms
Contribute to dissemination, maintenance, and user support of the "Osprey" platform
Develop new MRS/MRI pulse sequences
Develop new analysis methods to parametrize and model MRS artefacts such as lipid contamination (and/or eliminate)
Develop deep-learning-based methods for processing and analysis
Develop novel quantification routines specifically suitable for pediatric and/or aging cohorts
Work independently and as a constructive part of a large team of interdisciplinary researchers
Follow all key principles of responsible and reproducible research
Draft and submit manuscripts for publication in field-leading peer-reviewed journals (e.g., Magnetic Resonance in Medicine)
Draft and submit abstracts to field-leading annual society meetings (e.g., ISMRM)
Qualification
Required
Ph.D. in Medical Physics, Biomedical Engineering, Electrical Engineering, Computer Science, Neuroscience, or a related field
Experience with signal processing, data modelling, non-linear optimization, and MR physics
Strong programming skills in MATLAB, Python, R, C++, and/or similar
Ability to work independently as well as in a collaborative research environment
Preferred
Hands-on experience with acquiring and analyzing in-vivo MRS data
Knowledge in solving complex optimization problems
Knowledge of statistical analysis methods for biomedical research
Experience with reproducible research, open science practices, version control (OSF, Git, Docker, Jupyter, R Markdown etc
Strong publication record in relevant fields such as MRI/MRS, NMR spectroscopy, clinical neuroimaging, etc
Benefits
Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement.
Company
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Founded in 2004
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Funding
Current Stage
Growth StageTotal Funding
unknown2022-01-10Acquired
2006-08-31Series Unknown
Leadership Team
Stephanie Shweiki
Director, Foundation Partnerships
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