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Data Analytics Professor Jobs in Texas (NOW HIRING)

Neuroscience (Associate Professor) Division: Neuroscience Work Arrangement: Location: Houston, TX ... Analyze data using commercial software and custom pipelines * Mentor and train junior lab members ...

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Infographic showing various Data Analytics Professor job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

ASSISTANT PROFESSOR - Advanced Imaging (Neuroimaging) [Req#: 882134, Position#: 126668]

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Re-posted 9 days ago


UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

108th of 887 rated healthcare providers


Job description

Description
The Advanced Imaging Research Center (AIRC) at UT Southwestern Medical Center in Dallas, Texas, invites applications for a tenure-track Assistant Professor position in the field of methodological development for neuroimaging.
Potential topics include but are not limited to the development of innovative neuroimaging data analysis methods for human and pre-clinical applications and / or human 3T and 7T neuroimaging data acquisition methods. Research areas of interest include (i) functional MRI (i.e. Ultra-High resolution/layer specific, networks, novel analysis algorithms, distortion free acquisition); (ii) diffusion weighted MRI (i.e. Advanced modeling, model validation, spinal cord/heart); (iii) susceptibility weighted (SWI), quantitative (t1/t2/mt) and anatomical (Morphometry) MRI (i.e. Processing and quantification, motion correction, parallel transmission); (iv) functional and quantitative perfusion and angiography MRI and (v) machine-learning based reconstruction and analysis approaches. Integration of Neuro MRI with complementary functional neuroimaging methods such as simultaneous EEG or PET or cross-validation against invasive methods to enhance the physiological interpretation of neuroimaging contrasts is also a topic of great interest.
Qualifications
Applicants for this position should have a strong scientific record of accomplishment in neuroimaging methods development including novel data analysis and/or acquisition approaches and/or innovative approaches to validate neuroimaging contrasts supported by respective publications and grants. Experience in supervising graduate students and/or postdoctoral researchers is preferred. Applicants should have a Ph.D. degree in electrical engineering, physics, computational science, biomedical engineering or applied mathematics. Experience in either the development of novel and comprehensive data analysis pipelines or MRI sequence development is required. Faculty are expected to develop an independent, externally-funded research program and actively engage with clinical and basic research faculty across campus to apply the latest neuroimaging technologies to probe human brain function in health and diseases.
Application Instructions
Applications should include a letter of interest and a curriculum vitae.

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