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MEGCOMMUNITY  October 2019

MEGCOMMUNITY October 2019

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Subject:

Postdoc and PhD position at NL3 Wang Lab

From:

SUBSCRIBE NL3WangLab <[log in to unmask]>

Reply-To:

SUBSCRIBE NL3WangLab <[log in to unmask]>

Date:

Sun, 6 Oct 2019 04:12:12 +0100

Content-Type:

text/plain

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Looking for highly motivated PhD Student and Postdoc Fellow for a newly funded NIH project

The Neuroimaging for Language, Literacy and Learning (NL3) Lab (https://www.thewanglab.com) invites applications for Ph.D. Student and Postdoc Fellow. The NL3 Lab led by Wang aims to use neuroimaging techniques to understand cognitive processes (Language, Literacy, and Learning) in the brain. We are located at the Center for Brain, Biology, and Behavior (CB3) of the University of Nebraska-Lincoln (UNL). UNL was founded on February 15, 1869, and has been recognized by the Legislature as the primary research and doctoral degree-granting institution in the state for fields outside the health professions. CB3 (http://cb3.unl.edu) is housed within 30,000 square feet of dedicated space in Memorial Stadium, constructed in collaboration with Nebraska Athletics. CB3 is also close to the Holland Computing Center, home to the fastest supercomputing resources in the state. The facility’s centerpiece is a Siemens 3 Tesla Skyra scanner equipped with an MR-compatible 256-electrode high-density EEG system and an eye tracker. The center also features a salivary bioscience core facility, as well as several specialized laboratories, including NIRS, high-density EEG/ERP, eye tracking, psychophysiology, and genetics. There are currently 20 CB3 resident faculty and 35 additional CB3 affiliated faculty from across the UNL Colleges of Arts and Sciences, Education and Human Sciences, Engineering, Journalism and Mass Communications, and Agricultural Sciences and Natural Resources, and from the University of Nebraska Medical Center and Omaha campuses.

Review of applications will begin Oct 15, 2019, and continue until the position is filled.

Qualification for PhD Student: B.S. or M.S. in Biomedical Engineering, Neuroscience, or related filed is required. Previous research experience is highly desirable. The successful candidate will work with Wang directly and learn how to become a successful scientist (such how to collect neuroimaging (fNIRS, MRI, and DWI) data on children or adults, how to construct hypotheses and design research project, etc.). The successful candidate will receive full scholarship with competitive stipend. How to apply: To be considered for this position, please email your most recent version of CV to [log in to unmask] If you have any questions regarding this position, please contact Dr. Wang at [log in to unmask] or 402-472-0106.

Qualifications for Postdoc Fellow: A Ph.D. in Biomedical Engineering, Neuroscience, or related field is required. The successful candidate must have expertise in fNIRS data processing and analysis techniques and have passion in advancing cutting-edge technologies and algorithms used to complex fNIRS and BCI data. Expertise in techniques of functional MRI/MRI/DWI is not required but is highly desirable. The salary is based on experience and will be highly competitive. Your appointment of duties will be 100% research activities, including collection of fNIRS and BCI data, optimization of fNIRS data collection, and creation of fNIRS data analysis pipelines. You will be able to mentor students and collaborators as you develop your expertise in fNIRS and BCI. How to apply: To be considered for this position, please email your most recent version of CV and one representative publication to [log in to unmask] Please combine all required documents in one PDF file. Addition materials related to research are optional. Reference letters will be requested later in the process. If you have any questions regarding this position, please contact Dr. Wang at [log in to unmask] or 402-472-0106.

As an EO/AA employer, qualified applicants are considered for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See http://www.unl.edu/equity/notice-nondiscrimination.

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