4 network-coding-"Chung-Ang-University"-"Chung-Ang-University" Fellowship positions at University of Texas at Austin
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convolutional neural networks (CNNs), generative AI methods such as diffusion models, and interpretability techniques commonly applied in hydrology including SHAP or LIME for explaining outputs of forecasting
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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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in coding, i.e. MATLAP, Python, etc. Salary Range $61,008+ depending on NIH level Working Conditions May work around standard office conditions. Repetitive use of a keyboard at a workstation. Required
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teaching, presenting work at national and international meetings, and working with care providers and health care delivery networks to implement research in practice. Live in Austin a Vibrant, Lively