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Post-Doctoral Associate in ALS Research

University of Minnesota
life insurance, paid holidays
United States, Minnesota, Saint Paul
Nov 05, 2024
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Job ID
359206
Location
Twin Cities
Job Family
Academic
Full/Part Time
Full-Time
Regular/Temporary
Regular
Job Code
9546
Employee Class
Acad Prof and Admin
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About the Job

Required Qualifications:
*PhD in Electrical & Computer Engineering, Computer Science, Biomedical Engineering, or related field.
*Programming experience (Matlab, Python)
*Experience in image processing and analysis
*Experience with MRI data, in particular diffusion MRI processing and analysis skills
*Peer reviewed research publications in reputed journals in the field

Preferred Qualifications:
*Experience with MRI data in neurological disorders such as Amyotrophic Lateral Sclerosis (ALS) and Parkinson's disease.
*Experience with Linux operating system and shell scripting
*Experience with diffusion MRI processing tools available in software packages like FSL and MRtrix.

Job description:
*This is an opportunity for a highly motivated and enthusiastic engineering PhD graduate to conduct sophisticated biomedical image processing and analysis for imaging biomarker development and validation in neurological disorders. Specifically, the candidate will work with a multidisciplinary team of researchers and clinicians who are part of a multicenter imaging study in amyotrophic lateral sclerosis (ALS). The candidate will lead the integration of the data from all study sites, multimodal longitudinal biomarker development in collaboration with biostatistics colleagues, and the dissemination of data and findings through peer-reviewed publications. The successful candidate will also have the opportunity to be involved in other related projects at the Center for Magnetic Resonance Research (CMRR) at the University of Minnesota.

About CMRR:
*The CMRR is one of the world's premier magnetic resonance imaging facilities, with considerable expertise in imaging physics, engineering, and clinical research. The Center focuses on development of unique magnetic resonance (MR) imaging and spectroscopy methodologies and instrumentation for the acquisition of structural, functional, and biochemical information non-invasively in humans, and utilizing this capability to investigate organ function in health and disease. Collectively, the approaches and instrumentation developed in CMRR constitute some of the most important tools used today to study system level organ function and physiology in humans for basic and translational research and are increasingly applied world-wide.

Responsibilities
*Perform data QC and analysis from the three study sites (UMN, UFL and Northwestern University) during the study period (3-4 years).
*Correct MRI data for distortions and artifacts, and process using existing computational models (in packages like FSL, MRtrix, and Spinal Cord Toolbox).
*Integrate the data from the brain and spinal cord and contribute to the development of a multimodal longitudinal imaging biomarker.
*Author high impact publications and contribute to future grant applications.
*Contribute to the overall success of the study by working as a team in collaboration with the other study sites.

Pay and Benefits

Pay Range: $61,008 - $74,088; depending on education/qualifications/experience

Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training
  • Medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and life insurance
  • Employee wellbeing program
  • Financial counseling services
  • Employee Assistance Program with eight sessions of counseling at no cost
How To Apply

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach -

  • cover letter
  • CV

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-UOHR (8647).

Diversity

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu

Employment Requirements

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About the U of M

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).

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