Postdoctoral Research Associate – Shireman Lab job opportunity at Texas A&M University System.

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Texas A&M University System Postdoctoral Research Associate – Shireman Lab
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Pattern: full-time
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loacation Bryan, TX, United States Of America
loacation Bryan, TX....United States Of America

Job Title Postdoctoral Research Associate – Shireman Lab Agency Texas A&M University Health Science Center Department Medical Physiology Proposed Minimum Salary Commensurate Job Location Bryan, Texas Job Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents   & lived   experiences. Embracing varying opinions and perspectives strengthens our   core   values   which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.          Who we are As one of the fastest-growing academic health centers in the nation,   Texas A&M Health   encompasses five colleges and   numerous   centers and institutes working together to improve health through transformative education, innovative   research   and team-based health care delivery.   What we want The Postdoctoral Research Associate works with a multidisciplinary team on clinical studies to develop aging in place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases.  Analyzes complex sensor data, works with a multidisciplinary team to develop health digital twins and communicates data in the form of primary research articles, aides in grant writing, supervises graduate and undergraduate students and performs routine research duties as required.    What you need to know Salary:   W ill be   commensurate   based on the selected hire’s education and experience .     Location: Bryan, TX; This position may require up to 20% or more travel and occasional trips to independent/assisted living facilities and other locations. Schedule: Full-Time; May have to work on the weekend and/or after normal hours. Please note:   This position is grant funded; future employment may be contingent upon future funding .     Apply!   Submitting a cover letter, resume/CV to   assist   us with the review process. You may upload these documents to the application under CV/Resume . Required Education and Experience Appropriate PhD in a related field. Preferred Qualifications Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in the environment. Knowledge of characteristics associated with mild cognitive impairment capturable with digital interfaces. Experience with agentic large language models Experience in artificial intelligence to develop the algorithms for digital twins Experience with both qualitative and quantitative data analysis techniques Experience in cleaning and analyzing healthcare data Responsibilities Research and Data Analysis Under general supervision conducts research into their field of expertise. Utilizes knowledge and skills granted to them by their education and expertise to complete research projects in their field of expertise. Assists with the preparation and cleaning of data. Engages with research participants Works with study coordinator, postdoctoral fellows, faculty, graduate, undergraduate, and medical students Develops and evaluates artificial intelligence and machine learning algorithms for sensor data Analysis of digital pen data Analyzes data using artificial intelligence techniques Develops user-interface design Manuscript and Grant Proposal Writing Performs literature searches Writes first drafts of manuscripts and revise based upon feedback Assists with writing grant proposals Mentoring May assist, mentor, and/or supervise student researchers and/or graduate students who are working on research related to the project. Presentations Prepares presentation materials on research topic that may be presented to small and/or large groups. Actively participates in the preparation of required technical progress reports to research sponsors.   Why Texas A&M University? We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration.     Amenities associated with a major university, such as sporting and cultural events,   state-of-the-art   recreation facilities, the Bush Library and Museum, and much more await you.     Experience all that a big city has to offer but with   a reasonable   cost-of-living and no long commutes.       Medical,   prescription drug,   dental,   vision,   life and AD&D,   flexible spending accounts ,   and long-term disability insurance   with Texas A&M contributing to employee health and basic life premiums    12-15 days   of annual paid holidays     Up to   eight hours of paid sick leave   and at least   eight hours of paid vacation   each month    Automatic enrollment in the   Teacher Retirement System of Texas      Health and Wellness:   Free exercise programs and release time     Professional Development: All employees have access to free   LinkedIn Learning   training, webinars, and limited financial support to attend conferences, workshops, and more     Educational release time and tuition assistance   for completing a degree while a Texas A&M employee    Living Well,   a program at Texas A&M that has been built by employees, for employees      Instructions to Applicants:   Applications received by Texas A&M University must either have all job application data entered, or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.    All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check. Equal Opportunity/Veterans/Disability Employer.

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