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for a Postdoctoral Associate to work with faculty. Provide research support for multi-scale epidemic models of HIV and respiratory infections (particularly SARS-CoV2). Support includes, but not limited
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(mechanical, electromagnetic, and, possibly, fluid-dynamic) and multi-scale simulations for drone components using finite element tools (e.g., Abaqus, Comsol). · Supporting the development of an AI
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neurodegeneration. The RA will work closely with Dr. Stephanie Zande, Dr. Simon Thebault, lab members, and external collaborators to process, analyze, and interpret large-scale transcriptomic, single-cell, and
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-creation activities. Contribute to data preparation, sustainability indicators development, and multi-criteria decision-making analyses for scaling RCBMs across Europe and China. Utilize SWOT method
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to avoid abrasion and agglomeration. A small-scale experiment will be devised to explore some of the complexities. There will be issues of supersonic flow and how the presence of an abrasive fluid affects
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to avoid abrasion and agglomeration. A small-scale experiment will be devised to explore some of the complexities. There will be issues of supersonic flow and how the presence of an abrasive fluid affects
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disaster response.Through cooperation and coordination, autonomous agents can accomplish tasks that are too complex, unsafe, or large-scale for a single agent to handle alone. This research area lies in
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. Responsibility: * Develop or integrate novel statistical methods and algorithms for analyzing large-scale -omics data, including gene regulatory network inference, cell lineage reconstruction, multi-dimensional
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that are conducive to successful completion of the problem at hand. Particular focus will be on multi-robot and multi-agent problems (e.g., navigation, cooperative transport, team-based agent games). The ideal
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. This includes research on psychological assessment, psychometrics, and methods in large-scale assessments. Your tasks We are seeking an international visiting researcher to collaborate on an innovative research