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the postdoctoral researcher will be a part: Carole Adam, Senior Lecturer at the UGA. The objective of the project for UGA is to design and implement an agent-based simulator to evaluate coordinated response
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. Experience with control systems including the design of RL and MPC are required. Work with autonomous robots and competency in the Robot Operating System, and/or Physics Engine Simulators are preferred
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robots and competency in the Robot Operating System, and/or Physics Engine Simulators are preferred. The terms of employment are very competitive and include housing and educational subsidies for children
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optimization, systems models, and network modeling. Experience in agent-based modeling and simulation. Demonstrated research experience in supply chains, logistics, packaging, or sustainability assessment
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dissociation mechanisms, which we will describe using active learning methods to create force fields for which sufficiently long simulations allow access to reaction pathways and their thermodynamic data
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primarily focus on one or more of these parts. The successful candidate will develop numerical tools and/or theoretical models to model and simulate the behavior of a group of agents capable of chemical
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intensive multi-cellular agent based models (ABMs) of Epstein–Barr Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue. This postdoctoral associate will collaborate with experimentalists
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/Project: We are building an optimisation-driven framework that (i) makes AI agents reliably operate advanced scientific software (e.g., DFT, Wannierisation, and quantum-transport codes) and (ii) uses
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/autumn floods. The interdisciplinary SUPRAGRASS project addresses these challenges by developing operational tools based on remote sensing, ecosystem simulation, and stakeholder engagement. The aim is to
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either or both agent-based modeling and social network analysis/network science. The ideal candidate should be able to program in C or C and have experience working with tera-bytes of data. Preference