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Hi FreeSurfer Users,

We have a Connectome-related Post-Doc position available immediately in the Van 
Essen/Glasser lab.  Please see the below posting.  Feel free to forward to 
anyone you know who might be interested.

Thanks,

Matt.


Postdoctoral Research Associate (CIRC, Van Essen/Glasser Lab)

Position Summary

The Adult Aging Brain Connectome (AABC) project has a fully funded and 
immediately available opening for a Postdoctoral Research Associate within the 
Informatics, Data Analysis, and Statistics Core (IDASC). This position is based 
in the Van Essen/Glasser 
Lab<https://secure-web.cisco.com/1WZvYXfgvuq53cGKgRSB25U5IkW7IQITwIczQxqUnhtsuzASpcnfuE9uS4tDMBnOXcygtsYFIPHWAfp7WwVj05y2sffuoeWRRGG7DgahTFdQ776DHb2ImpuAzg5-V5xlcG3wDQeMmx5FmyCqeTxtw3OVIN51XZusR62cbZdBrP1NiMThR7cVxr5PAlPYmaPZ14hjvF_ALUrnpY5jHaIyzfx8C_kykch9tYA3TnCmmoAkYcbbLgNPTkMB4zxPTfRdFIimyG8uxiO4Ik6dsyRrNuG8fs4Qkt2lTz7yR5T2P_IeLu-eAjMZHn7lVSHuOSCBHi4W4oD45YV62qZuziD8pxw/https%3A%2F%2Fsites.wustl.edu%2Fvanessenlab%2F>
 within the Computational Imaging Research Center 
(CIRC)<https://secure-web.cisco.com/1uaguVfyCEHq6WsESzrPjgSjZD2SaiuQ4MEvw4TyDAbAUm8MIfOIVZN3-VMofjw8JleGve1fJAXQ6ZoCoGbo8fODNd5AElAyvgJd-qMcddPUAuREGhJvHZX_joHK96m0MmZK3sPjkGq1Jk9ACsLr9E8LD9FVPdJixIBg5VTyFLSGDasMIU4z7lrz6Rm1d6GxU9PLUkEEASKje0IWMBpaArSgYZYIx3y91B8jcet6dK38QnQi9CLi1KsCFmiSVCakLhy43mGHAEqB7oPCxDOCdsi2m8iOY71HPiyt-iDLqeAChy6U3-tURPOmFKvdX_wjXg_eNm3j74B2pCn66JN8Scw/https%3A%2F%2Fwww.mir.wustl.edu%2Fresearch%2Fresearch-centers%2Fcomputational-imaging-research-center-circ%2F>
 of Mallinckrodt Institute of Radiology (MIR), at Washington University School 
of Medicine in St. Louis. The AABC is a longitudinal extension of the Human 
Connectome Project in Aging that seeks to determine the structural and 
functional brain connectivity trajectories associated with vulnerability and 
resilience to developing late life dementia. Among the IDASC’s primary aims is 
to continue the Human Connectome Project 
(HCP)’s<https://secure-web.cisco.com/1TJ34rCWxWlzejI-JhfFwndMEDUQ2t4IHs7v-4AbXCZ2U3uPkhdrKmkxx7hgAdEuV-BXSsSNWT4pHg7Po9tYbElSRdbGjkiySiNhQ2h3QtTLBqyuIOmCxbxxEtHhCN9EK-67yUP65qFdZYEcGvuv0yvghxiWWLSYih5Z2ImlGaPvPXIb3OwdRFJSoNIyN4MtFewxQM8eA54tOuwx0ZJ07DwhUw_oJroOFNf21wG8qjVs0q6CN6_2LT2QUrbgQtkWWO1Zxtl4eX12_gsUqwLl6lWGkie0bza3l7Km5n1VPDUfmo3mOIE-UlrQy8bE8W9oS1WNXj6zasHq24eJDRGxZSw/https%3A%2F%2Fwww.humanconnectome.org%2F>
 innovative neuroimaging methods development, with a particular focus on 
HCP-Style data analysis optimized for generating multi-modal imaging data 
phenotypes from longitudinally acquired scans. The selected candidate will have 
access to the HCP’s large consortium of world experts in multiple neuroimaging 
domains and ample opportunities to publish research methods and scientific 
findings in high impact academic journals and at premier scientific 
conferences. The Van Essen/Glasser lab’s senior staff are highly experienced, 
having developed much of the HCP’s software themselves, and are excellent at 
training new users of HCP-Style brain imaging methods. The CIRC hosts a vibrant 
community of postdoctoral and graduate student trainees together with multiple 
additional faculty and state of the art computational resources. The position 
is renewable annually based on performance, and funding is available for up to 
4 years. Information on being a postdoc at Washington University in St. Louis 
can be found at 
postdoc.wustl.edu/prospective-postdocs<https://secure-web.cisco.com/1Gg_mxIwFSYfuZnIdHM-VK6rM2TfCf8l5Su1ssLBefTvaRdTII4CbaK1A-Kpdtcm58uTTgJfgijw4lS6t1VzniplKsOWUH6r9ypuf-0sOrdYb3Rogwe_HWT2sYtBtqK1faGT1ibpgn8DeoJ7wZXrgaxeq5qESlNSR8VVCTdrwDSJUHQuAEfVliFxvG41oA0kSk7-top-z-M5KfhMPTiwuVr0DzdGkCblKrOB_DRbK30EsROp_t-lsPiE8zii7n1JqFc2AaSGw-ltWXevSQb13e_BGsjibsyiu-lbOXWsGDmH-LMvPQSO18vAtYwjhxhcm33TH9sgbFHEeTOYr6D4bGQ/https%3A%2F%2Fpostdoc.wustl.edu%2Fprospective-postdocs>.

Primary Duties & Responsibilities

  *   Develop and aid in the design of longitudinally optimized HCP Pipelines 
for multi-modal neuroimaging data analysis, including structural, functional, 
diffusion, and Arterial Spin Labeling (ASL) modalities.
  *   Develop and aid in the design of HCP Pipelines for deriving multi-modal 
Imaging Data Phenotypes (IDPs) at the neuranatomical levels of brain areas, 
functional networks, and white matter tracts.
  *   Use the longitudinally optimized multi-modal IDPs to carry out 
statistical analyses relating these IDPs to behavioral and biological measures 
relevant for cognitive and dementia outcomes.
  *   Serve as first author for scientific publications and presentations with 
primary responsibility for preparing, submitting, revising, and presenting such 
work.
  *   Be a good citizen in the lab/center and follow all applicable 
institutional policies.

Required Qualifications
Ph.D. in the field of biomedical engineering, imaging science, neuroscience, or 
a related field.

Preferred Qualifications

  *   Record of accomplishments in at least one of the following fields: 
neuroimaging, medical image analysis, or a related field.
  *   Proficiency in quantitative analytical methods and computer programming 
in a Unix/Linux environment (e.g., shell scripting, Matlab, Python).
  *   Prior experience with HCP-Style methods, HCP data, and/or the HCP 
Pipelines.
  *   Prior experience with the commandline implementations of FSL, FreeSurfer, 
and Connectome Workbench softwares.
  *   Excellent interpersonal and communication skills, both verbal and written.
  *   Ability to work effectively both independently and within a 
multidisciplinary team.

Salary Range
Base pay is commensurate with experience.

Applicant Special Instructions
To apply, please contact Dr. Matthew Glasser with the following:

  *   Cover letter describing your research interests.
  *   Current curriculum vitae.
  *   Name and contact information for three references who are familiar with 
your work.
  *   Two or three representative publications.

Matthew F. Glasser, M.D., Ph.D.
Instructor
Washington University School of Medicine
Mallinckrodt Institute of Radiology
E-mail: glass...@wustl.edu<mailto:glass...@wustl.edu>


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