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Generation Networking & Security, Cyber-Physical Systems (CPS), Active Cyber Infrastructure and Defense (ACID), Machine Learning (ML), networks (DECENT), Big Data Management & Mining Laboratory (BDLab
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methods was launched within IT. The focus is to develop novel, efficient algorithms and methods to cope with the big amounts of data that require processing (incl. machine learning), as well as to
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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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impact of frontier technologies on economic systems, the economics of AI), behavioural economics, game theory, microeconomics, time series analysis, big data, and machine learning. Proficiency in
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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