Duke University, Biomedical Engineering

137 18577
Position ID:Duke-BME-PDAHOWELL5521 [#18577]
Position Title: Postdoctoral Associate
Position Type:Postdoctoral
Position Location:Durham, North Carolina 27708, United States [map]
Subject Area: Biomedical Engineering / Biomedical Engineering
Appl Deadline:2021/06/30 11:59PMhelp popup (posted 2021/05/05, listed until 2021/11/05)
Position Description:    

*** the list date or deadline for this position has passed and new applications are no longer being accepted. ***

Postdoctoral Associate in Computational Neuromodulation

The incoming Howell Laboratory at Duke University has NIH funding to support a postdoctoral researcher interested in studying the neural dynamics of deep brain stimulation (DBS) for intractable depression. Our group studies invasive and noninvasive neurotechnology for treating mood and movement disorders, and combines computational neuroscience, neuroimaging, and bioinstrumentation to test new concepts in neuromodulation for psychiatry. This funded project is a cross-functional effort with Helen Maybergs group at the Mt. Sinai Health System leading an ongoing clinical trial to optimize DBS for depression. The fellows research will develop neuronal and neural mass models, leveraging advanced medical imaging and electrophysiological data to study DBS for depression.

Primary responsibilities:

-Analyze medical imaging and high-density EEG

-Build in silico (statistical and computer) models of brain stimulation

-Design data-driven experiments using tracography and biophysical simulations

-Develop coding libraries to disseminate predictive models

-Independently propose 23 projects per year and prepare manuscripts for publication

-Contribute analyses and data for research grants

Requirements:

-A Ph.D. in a quantitative field (engineering, computational biology, physics, or mathematics)

-5+ years of experience in a research environment

-2+ years of experience with a numeric computing environment (Matlab, Python, R)

-2+ years of experience in data science, machine learning, and/or numerical analysis

Preferred qualifications (3 or more):

-A strong understanding of neurobiology and electrophysiology

-A strong understanding of electromagnetism or basic electronic circuits

-A background in numerical methods (e.g.,FDM and FEM)

-A demonstrated track record of success inworking within a cross-functional environment

Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.


Application Materials Required:
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Further Info:
http://www.bme.duke.edu
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http://www.bme.duke.edu

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