External Email - Use Caution        

Postdoctoral Research Fellow in New York – MR correlates of Gait and Falls in 
multiple sclerosis



A postdoctoral research fellow position is available immediately in the 
departments of Radiology and Neurology at the Albert Einstein College of 
Medicine in NY. The goal of our NIH-funded project (Brain predictors of 
mobility and falls in older adults with multiple sclerosis - 5R01NS109023) is 
to investigate the structural and functional brain correlates of gait 
impairment and falls in older multiple sclerosis patients. Using innovative 
statistical modeling methods allowing us to draw inferences from walking data 
(functional near-infrared spectroscopy during complex walking tasks) combined 
with advanced structural and functional imaging data, the project aims to 
elucidate the brain pathways involved in cognitive control of walking, and 
their relationship to risk of falls, and how these pathways are affected in 
elderly MS patients.
We currently have collected data structural and/or functional MRI methods (e.g. 
DTI/NODDI, rs-fMRI) on > 150 patients and controls, an extremely rich dataset 
which will be available to the research fellow for data analysis, manuscript 
generation and exploring new data and modeling approaches to these data. We are 
seeking a highly-motivated individual with experience in neuroimaging analysis 
methodologies.

Candidates should have:
-  PhD in BME, physics, computer science, cognitive neuroscience or related 
disciplines,
-  Experience with structural and/or functional MRI data analysis (e.g. NODDI, 
rs-fMRI).
-  Solid programming background (e.g., FSL, SPM, Freesurfer, Matlab)
-  Comfortable with data analysis in a Linux environment.
-  Familiarity with computational and statistical methods related to imaging 
analyses.

A strong work ethic, excellent organizational and communication skills is 
expected as well as the ability to work in an interdisciplinary environment. 
Willingness to learn new techniques or software environments and a strong 
foundation in neuroanatomy is plus. Writing experience, a good publication 
record, and the ability to work independently will be strongly favorable.



The Albert Einstein College of Medicine is a leading academic institution, with 
over $170M in NIH funding. The candidate will have access to state-of-the-art 
brain imaging (3T MRI) and computing facilities. Einstein is one of the 
nation’s premier institutions for medical education, basic research and 
clinical investigation. It is home to some 2,000 faculty members, 750 M.D. 
students, 350 Ph.D. students attending the Sue Golding Graduate Division — 
including 125 in the combined M.D./Ph.D. program — and 325 postdoctoral 
investigators training at our Belfer Institute for Advanced Biomedical Studies. 
More than 7,000 Einstein alumni are among the nation’s foremost clinicians, 
biomedical scientists and medical educators.



Interested candidates should send their CV, a brief statement of their research 
interests and career goals, and the names and contact info of three references 
to Mark Wagshul (mark.wags...@einsteinmed.edu). Review of applications will 
begin immediately and continue until the position is filled.


The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative 
Action Employer. All qualified applicants will receive consideration for 
employment without regard to race, color, religion, sex, sexual orientation, 
gender identity, national origin, age, protected veteran or disabled status, or 
genetic information. Einstein seeks candidates whose skills, and personal and 
professional experience, have prepared them to contribute to our commitment to 
diversity and excellence, and the communities we serve.

____________________
Mark Wagshul, PhD
Associate Professor
Gruss Magnetic Resonance Research Center
Albert Einstein College of Medicine
Bronx, NY 10461

Ph: 718-430-4011
FAX: 718-430-3399
Email: mark.wags...@einsteinmed.edu

[einstein-logo-rgb]
This email message and any accompanying attachments may contain privileged 
information intended only for the named recipient(s). If you are not the 
intended recipient(s), you are hereby notified that the dissemination, 
distribution, and or copying of this message is strictly prohibited. If you 
receive this message in error, or are not the named recipient(s), please notify 
the sender at the email address above, delete this email from your computer, 
and destroy any copies in any form immediately.


_______________________________________________
Freesurfer mailing list
Freesurfer@nmr.mgh.harvard.edu
https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
The information in this e-mail is intended only for the person to whom it is 
addressed.  If you believe this e-mail was sent to you in error and the e-mail 
contains patient information, please contact the Mass General Brigham 
Compliance HelpLine at https://www.massgeneralbrigham.org/complianceline 
<https://www.massgeneralbrigham.org/complianceline> .
Please note that this e-mail is not secure (encrypted).  If you do not wish to 
continue communication over unencrypted e-mail, please notify the sender of 
this message immediately.  Continuing to send or respond to e-mail after 
receiving this message means you understand and accept this risk and wish to 
continue to communicate over unencrypted e-mail. 

Reply via email to