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A gentle reminder that this post doctoral position is still open for applications. Thank you.

On Mon, Sep 14, 2020 at 2:28 PM Estephan Moana Filho moana004@umn.edu wrote:

*POSITION OVERVIEW*

The Division of TMD & Orofacial Pain (OFP) at the University of Minnesota School of Dentistry (UMN SOD) is seeking a highly motivated Post-Doctoral Associate in the field of human neuroimaging and sensory testing for an NIH/NIDCR funded project studying brain-related mechanisms in painful temporomandibular disorders (TMD). The focus of this position will be on acquisition and analysis of neuroimaging data, as well as performing quantitative sensory (QST) and endogenous pain modulation (EPM) testing.

This project is led by Dr. Estephan J. Moana-Filho, a dentist-scientist within the TMD & OFP division, who provides clinical care to OFP patients and is interested in expanding the knowledge about brain mechanisms in OFP conditions with a focus on painful TMD. The methods to be used include multimodal magnetic resonance imaging (MRI) based on the Human Connectome Project (HCP) sequences (structural, resting and stimulus-evoked BOLD fMRI, diffusion) combined with sensory testing and psychosocial/behavioral measures (QST, EPM, questionnaires, clinical measures, etc.). Our goal is to further our understanding of brain structural and functional networks involved in sensory processing, and potentially underlying central sensitization features present in painful TMD.

*Duties and Responsibilities*:

The Post-Doctoral Associate’s responsibilities will include, but are not limited to:

1. Implement multimodal MRI data analysis pipelines (structural and
   

functional connectivity, stimulus-evoked fMRI, diffusion-based tractography and volumetry/cortical thickness measures) based on the HCP pre-processing pipelines (Glasser et al., 2013).

2. Perform sensory/EPM testing in human participants following
   

standardized protocol (Rolke et al., 2006)

3. Acquire neuroimaging data following the HCP neuroimaging approach
   

(Glasser et al., 2016), including stimulus-evoked fMRI.

4. Model and analyze complex datasets including neuroimaging, sensory
   

and clinical data.

*Required qualifications*:

1. PhD in neuroscience, biomedical engineering, oral biology,
   

psychology, cognitive science, or a related field.

2. Strong proficiencies with one or more major neuroimaging software
   

suites (e.g., FSL, Freesurfer, Connectome workbench, AFNI, SPM, etc.) and Unix/Linux environment. Familiarity with R, Python, and/or Matlab programming languages is a plus*.*

3. Quantitative and statistical skills, including strong programming
   

skills and comfort with diverse computing environments such as high-performance computing systems.

4. Comfortable with interacting with human participants.
   
   

5. Demonstrated ability to complete projects as evidenced by
   

first-author publication(s).

6. Proficient writing skills, motivated and driven to publish in
   

peer-reviewed journals.

In addition to these requirements, the ideal candidate should have a passion for self-learning, be inquisitive, critical problem-solving skills and initiative to seek out the resources necessary to achieve the project’s goals.

The Moana-Filho lab is part of a vibrant pain research community at the UMN, with access to several resources including:

· The Center of Magnetic Resonance Research (CMRR), a world class MRI research center with several research dedicated MRI scanners including three 3T Prisma, 7T and 10.5T human scanners.

· The UMN Minnesota Supercomputing Institute (MSI), an interdisciplinary research resource supporting high-performance computing services. The latest MSI’s system is among the top 10 university-owned supercomputers in the nation, with a peak performance of over 670 Tflops and an additional 105 Tflops from a dedicated GPU subsystem. Its main cluster is also equipped with 40 high memory nodes to accommodate large memory requirements. These memory nodes feature 1 TB of memory and large solid state drives for ultra-high performance input/output. All systems are connected to high-performance parallel storage systems, with a current capacity of approximately 3 PBytes. MSI staff manage and operate these resources, offering full support to users in developing and optimizing workflows.

Applications will be reviewed on an ongoing basis. Funding is available as a one-year appointment with the possibility of extension. Salary will be competitive and commensurate with experience. In case of any questions, please feel free to contact Dr. Moana-Filho (moana004 at umn dot edu moana004@umn.edu).

To apply, click on “External Applicants” under the banner “Apply now!” and search for Job Opening 337497: https://secure-web.cisco.com/1LJcUbm9mGJys_STDVf_OlQVzaBdhMnjkYfiwOnEkr8Igrh...