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)—topics including, but not limited to: · Physics-informed neural networks (PINN) & neural operators · Physics-aware convolutional neural networks (PARC) · Meta-learning/transfer
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acquisition and reconstruction—particularly diffusion or dynamic imaging—is highly desirable, along with strong programming abilities in languages such as Python or MATLAB. Experience with pulse sequence
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day of employment per University Policy. This position will not sponsor for work visas. Why Join Us? This postdoctoral position offers a collaborative and dynamic research environment at one
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seeking hands-on experience in biostatistical research within a dynamic academic environment and aiming to make impactful contributions to the field. For additional information about the position, please
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for submission. Applications that do not contain all required documents will not receive full consideration. For questions about the application process, please contact Eric Allen, Academic Recruiter, at uth9qh
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, and programs. This position will not consider candidates who require immigration sponsorship now or in the future. Background checks will be conducted on all new hires prior to employment. For immediate
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checks and pre-employment health screenings will be conducted on all new hires prior to employment. This position will not consider candidates who require immigration sponsorship now or in the future. How
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profile online; attach a cover letter, resume, and contact information for three references. Incomplete applications will not be given consideration. PHYSICAL DEMANDS This is primarily a sedentary job
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. Applicants must be currently authorized to work in the United States. For this role, the University will not sponsor or consider candidates requiring sponsorship for employment visas now or in the future
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into the resume submission field. You can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive full consideration. Internal