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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
oncology by pursuing two main directions: (1) leveraging clinical and multi-omics data to generate hypotheses, uncover novel cancer vulnerabilities, and optimize therapeutic strategies, and (2) developing AI
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management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world's first exascale
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the current state of knowledge on specific drugs’ PK and PD properties and on state-of-the-art approaches for study design optimization, dose individualization, and PK/PD modeling and simulation. Frequent
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. Implements and optimizes computing workflows using high-performance computing clusters. Prepare manuscripts, abstracts, and presentations, present findings at internal meetings and international conferences
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modeling tools to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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the project. Strong research profile in the applications of machine learning, artificial intelligence, multi-objective optimization, spatiotemporal modeling, and processing of satellite and high-frequency flux
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an optimal AI approach to quality control of water level observations collected by tide gauges. Develop new AI based methods for bad data detection, gap filling, assessing and documenting performance
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
responsibilities include assay development and experimental execution including assay optimization, sample processing (collected from ongoing cohort study in Malawi), PCR primer generation/selection, quantitative
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post-doctoral’s expertise will be strongly enhanced in the general areas of pharmacy services to specialized patient populations to optimize patient outcomes. The initial duration of the position will be
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Description The Quantum Information team at UMass Amherst is involved with modeling and optimization of quantum hardware, as well as development of new modeling methods and algorithms, in collaboration with