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, led by Prof. Mrinal Sen, engaged in cutting edge research on solving subsurface imaging problems using advanced techniques of full waveform modeling, inversion and uncertainty quantification. The team
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mapping project involves acquisition of high-resolution modern satellite imagery and the application of deep convolutional neural networks (DCNN) for image analysis. Candidates for the position are expected
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imaging (fMRI) data, and the recruitment of research participants for the Fonzo Lab. This position is tied to an R01 project examining the effects of trauma-focused psychotherapy (cognitive processing
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of the projects. Basic knowledge in coding language, including but not limited to, basics of Linux, MATLAB, Python. Ability to carry out both wet-lab work for sample preparation and dry-lab work for image analysis
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Experience with analytical and imaging instrumentation (e.g., mass specs, confocal) Salary Range $60,000 annually Working Conditions. The selected applicant will conduct research in the Nielsen Lab at UT-MSI
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, and (5) increase situational awareness during large fire incidents. The postdoctoral fellow will join a team developing novel thermal imagers and other sensors for UAVs to improve our observations and
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premiums covered at 100%, family premiums at 50%) Voluntary Vision, Dental, Life, and Disability insurance options Generous paid vacation, sick time, and holidays Teachers Retirement System of Texas, a
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premiums covered at 100%, family premiums at 50%) Voluntary Vision, Dental, Life, and Disability insurance options Generous paid vacation, sick time, and holidays Teachers Retirement System of Texas, a