11 engineering-in-image-processing Fellowship research jobs at University of Texas at Austin
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resources and systems, and (d) evaluate drought and flood risk and resilience. This research program is anticipated to yield significant insights for Texas water resource management and planning processes as
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resource management and planning processes as well as to provide a strong foundation for further research projects. Each position term is subject to performance as well as research program needs and funding
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resources and systems, and (d) evaluate drought and flood risk and resilience. This research program is anticipated to yield significant insights for Texas water resource management and planning processes as
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academic institutions. Our mission is to develop and execute a state-of-the-art 3D Heterogenous Integration manufacturing technology roadmap, and to provide critical pilot manufacturing capabilities
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models for treatment discovery and patient-specific decision support. Gain experience in translational research across clinical, academic, and technology domains. Participate in lab initiatives aligned
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. Experience with the use of electronic medical records and clinical data. Self-direction, critical thinking skills, and ability to work as part of a multidisciplinary team. High computer proficiency, including
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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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of single sedimentary particles for downstream DNA extraction, sequencing, and potentially cultivation. Assistance with the establishment of Oxford Nanopore DNA sequencing technology and implementation of a
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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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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