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language models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex
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deposition and characterization. * Other duties as assigned. Qualifications: Preferred applicants will have, or be close to completing, a PhD in physical science or engineering. They should have demonstrated
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models, bioluminescence Imaging, and animal necropsy. Other wet-lab techniques or assays maybe involved depending on how the project progresses. Required Qualifications* PhD (or equivalent) in Biomedical
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English, and competence in word processing and spreadsheet software. Desired Qualifications* Previous PhD or postdoctoral research experience in pediatric brain tumors. Modes of Work Positions that
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image processing (e.g., in Matlab), and Fourier optics are desirable. Knowledge of visual optics is not required, though beneficial. The project is supported by federal funding. Rank and salary will be
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degree in computer science, information technology, engineering, health informatics or a related field; Research expertise and strong background in one or more of the following areas: Computer programming
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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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models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex problems
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gene editing, single cell RNA sequencing, bioinformatics, genetic engineering in mice, intravital microscopy and other imaging modalities, and a number of cell and molecular techniques. For more
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harnessing innovative synthetic biology, microbial engineering, and drug delivery approaches for improving human health in a sustainable manner. Currently, three directions are being explored: (1) engineering