17 postdoc-in-thermal-network-of-the-physical-building Fellowship positions at University of Texas at Austin
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| Human Resources and UT Austin Employee Experience | Human Resources Must be authorized to work in the United States on a full-time basis for any employer without sponsorship. Purpose The Postdoc employed
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Fellowship position at The University of Texas at Austin is to advance research in microelectronics thermal management and advanced packaging. Aiming to develop early-career researchers by engaging them in
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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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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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/ epigenomics. The postdoctoral scholar will also join the PRC’s postdoctoral training program, which has associated professional development, mentoring, and capacity-building activities. What benefits do I
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has also been developing physics-based machine learning algorithms for three dimensional seismic modeling, imaging and inversion using high performance computation including parallelization on GPUs
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or contingent workers: You will be prompted to submit your resume in the first step of the online job application process. Then, any additional Required Materials will be uploaded in the My Experience section
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combining clinical, molecular, proteomic, and other published data to build explainable and scalable decision-support systems. These systems are designed to bridge gaps in personalized treatment for patients
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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
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has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by