FYI
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Post-doc in MEG with Atomic Magnetometers
The Ghuman Lab at the University of Pittsburgh, in collaboration with
the Romalis Group at Princeton University and Twinleaf LLC, is
recruiting a Post doc to develop methods for atomic magnetometer based
MEG and multimodal integration (simultaneous MEG-EEG and MEG-fNIRS).
The position is available immediately.
Responsibilities:
• Develop novel solutions for MEG using atomic magnetometers
concerning source localization, noise cancellation and head modeling
• Acquire and analyze MEG, MEG-EEG, and MEG-fNIRS data
• Develop novel methods for integrating multimodal data
• Design and implement novel data analysis tools
• Assist with preparation of progress reports
• Prepare manuscripts and presentations
• Work with Investigators to identify future problems and
research opportunities
Minimum Qualifications:
• Ph.D. in Engineering, Physics, Neuroscience, Computer Science,
Math, or related field.
• Demonstrated expertise in solving MEG technological issues as
shown through publication record, awards, successful patents and/or
received applications.
• Data analysis expertise includes independent components
analysis, Bayesian algorithms, statistical parametric mapping, and MRI
image processing.
• Proficiency in creating software analysis tools and programs
for investigators
• MATLAB and Python programming knowledge preferred.
Conditions of Employment:
• Position available immediately
• Salary: according to NIH postdoc salary scale
• The University of Pittsburgh has excellent benefits, including
health benefits and retirement plans with employer contributions.
• The University of Pittsburgh values diversity and is committed
to equal opportunity in employment.
How to Apply:
• E-mail Avniel Ghuman, Ph.D. (ghumana(a)upmc.edu) or Mike Romalis,
Ph.D. (romalis(a)princeton.edu)
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