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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 23 hours ago
data analysis, algorithm development, and the use of statistical software and data warehouses, while using pharmaceutical quality submission data. You will also develop an understanding of OPQ business
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focuses on developing digital tumor models that integrate clinical and molecular data to predict treatment response, therapeutic resistance, disease progression, recurrence, toxicity, and survival. We work
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may include but are not limited to: algorithm and software development; application or development of computational or statistical methods; data analysis; modeling; statistics and machine learning
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technical elements of computational astrophysics research, which may include but are not limited to: algorithm and software development; application or development of computational or statistical methods
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to interdisciplinary AI research, faculty engagement, proposal development, and strategic initiatives. Through these efforts, the position will foster collaboration, increase effective use of shared computing resources
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 23 hours ago
to minimize algorithmic bias. Develop expertise in evaluating AI devices that can adapt and learn post-deployment, including understanding evolving algorithms and creating methodologies to assess algorithm
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algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing extreme-scale scientific data management
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at the University of Maryland School of Medicine (UMSOM) is seeking a highly motivated postdoctoral fellow for a full-time, three-year appointment. The fellow will contribute to an NIH-funded project developing a non
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theory, and statistics. Algorithm Development: Ability to design and optimize AI/ML models for neuroscience. Scientific Writing & Communication: Ability to publish research and present findings. Basic
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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security