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United States at the time the appointment is scheduled to begin and to continue working legally for the proposed term of the appointment Able to handle multiple tasks or projects simultaneously to meet assigned
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include the design and implementation of finite element multiscale models and machine learning algorithms, analyzing related experimental data, and collaborating with industrial collaborators to validate
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the complexities of the human regulome through advanced cell-free DNA profiling and developing cutting-edge computational algorithms and molecular profiling techniques. Our research focuses on early cancer detection
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not required as part of this position. Required Qualifications: Strong mathematical background, including expertise in one or more of the following areas: machine learning, statistics, and algorithms
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University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA
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omics to advance biological and clinical discoveries and develop next-generation theragnostics. The postdoctoral fellows will mainly focus on (1) creating novel computational algorithms to analyze and
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molecular biology. This research opportunity will be focused primarily on developing tightly integrated sequencing experiments and computational algorithms to characterize biomolecular interactions with high
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own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. The post will be based in the Department
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efforts are directed at identifying and overcoming stromal barriers to treatment (including elevated interstitial pressures, activated fibroblasts, and multiple mechanisms of immune suppression
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interventions, support policy making and optimize control strategies. Our approach is highly multidisciplinary, looking at infectious diseases through multiple perspectives, multiple scales and multiple data