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experience in computational systems modeling, simulation, and analytics. Experience with agent-based, biophysical modeling, or multi-scale modeling; OR Experience with analyzing multi-omics data (e.g., single
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information of three references to the following link: https://umb.taleo.net/careersection/jobdetail.ftl?job=2500003C&lang=en UMB is an equal opportunity/affirmative action employer. All qualified applicants
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USC Auxiliary Services, one of the largest divisions at The University of Southern California, is focused on making a difference for over 65,000 students, athletes, faculty, staff, and guests who
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to the following link: https://umb.taleo.net/careersection/jobdetail.ftl?job=240001RP&lang=en UMB is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration
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optimal individual choices. We use this framework to study: Multi-agent Systems and AI, Social Systems, and Models in Biology and Evolution. Please check our publications for more details: http
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of Technology on a full-time basis within their assigned territories. Benefits Our commitment to employee well-being is reflected in our competitive benefits package located here: https://www.iit.edu/hr/benefits
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capabilities for Unmanned Aerial Systems (UAS). Our capabilities span electrical, mechanical, computing, autonomy, and human factors that allow us to build end-to-end solutions for custom single- and multi-agent
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system protects us from infectious agents such as bacteria, viruses and fungi, as well as from malignant growth of our own tissues. Our lab is interested in the intersection between anti-bacterial and anti
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, multi-agent reinforcement learning, in an interdisciplinary area across energy and transport systems. Role/contribution in the project Collaborate with supervisors and other team members Analyse
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and