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data and machine learning, smart grids and power electronics. Interdisciplinary work within this environment is strongly supported and encouraged. The School of Engineering and Applied Sciences has
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intersection of Computer Science, Statistics, Machine Learning, Big Data, Applied Mathematics (particularly Optimization), Operations, and Business. The Department of Business Analytics in the Tippie
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glycobiology good understanding of sepsis pathogenesis and treatment experience from work with omics, big data and statistics, (e.g. using R or similar tools) experience using AI/machine learning for health
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salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic
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research projects, the interdisciplinary cooperation and the collegial exchange in our faculty. Our current research focuses on Software Protection, Machine Learning/AI und Security und Security and
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Environment. Across both areas, the School has a particular interest in candidates who leverage advances in artificial intelligence, machine learning, digital twins, Earth observation, robotics
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research, causal inference, machine learning or artificial intelligence methods, and real-world evidence, particularly when used to address health policy, health care delivery, population health, or
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research, causal inference, machine learning or artificial intelligence methods, and real-world evidence, particularly when used to address health policy, health care delivery, population health, or
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in candidates who leverage advances in artificial intelligence, machine learning, digital twins, Earth observation, robotics, autonomous sensing and big-data analytics to address pressing climate and
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NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | about 2 months ago
(race, gender, class) with "big data" related to climate risks. Conventional decision-making often relies on quantitative datasets that can be incomplete; this PhD aims to develop adaptive, flexible