6 algorithm-"Multiple"-"U.S" Fellowship positions at University of Texas at Austin in United States
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with rare, resistant, or genomically un-targetable cancers. Responsibilities Design and evaluate algorithms for treatment and response matching using integrated clinical and molecular datasets. Develop
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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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using high spatial resolution satellite imagery Exceptional written communication abilities Strong programming experience Familiarity with machine learning algorithms (e.g., DCNN, XGBoost, SVM, Neural
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individuals and families in multiple general medical and specialty behavioral health settings with an active and strong presence in community settings. Importantly, the Department is leading efforts
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skills. Preferred Qualifications Experience convening and leading a complex, multi-faceted research effort with multiple stakeholders. Experience with public presentations in a non-academic environment
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Professional Profile. This information will be pulled in to your application. The application is one page and you will need to click the Upload button multiple times in order to attach your Resume, References