11 postdoc-image-processing Fellowship research jobs at University of Texas at Austin
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-edge semiconductor manufacturing equipment and processes that will set the course for future advancements in semiconductor logic, memory, heterogeneous integration, chip cooling and more. Situated in the
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Experience with high performance computer clusters (e.g, TAMU-HPRC, UT-TACC, NVIDIA Data Center). Preferred Qualifications Background in estuarine ecology, aquatic vegetation Experience with image analysis
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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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, 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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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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on advanced seismic monitoring using DAS and nodes, with emphasis on DAS processing and dense acquisition techniques for land-based applications. This in-person position is located at J.J. Pickle Research
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thinking skills, and ability to work as part of a multidisciplinary team. High computer proficiency, including basic MS Office, MS Access, graphics, and database software. Basic project management and
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collection, including cognitive assessments such as computer-based testing, questionnaires, and health measurements, as well as brain measures such as electroencephalography and near-infrared spectroscopy
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have been received within the last three years, 1 year of experience with machine learning, natural language processing, AI tools and frameworks, data integration, and/or explainable AI. Proficiency in