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AI agents (cloud-based and edge AI) and related tools for cold supply chains. Participate in and/or lead stakeholder engagement efforts. Supervise and collaborate with graduate students in laboratory
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. • Familiarity with MODFLOW, MATPOWER, OpenDSS, Machine Learning based emulators, or agent-based modeling. • Knowledge of scenario development, resilience frameworks, and socio-environmental-technological systems
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: the originality of the project lies in the articulation of theoretical and empirical approaches, and in the design of multi-attribute incentive devices to improve the mobility of agents based on their situation
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main execution backend for the RL agent, while also investigating the potential of RTL simulation and physical RISC-V board as complementary execution nvironments. A key aspect of this work will involve
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, imaging, and computation. Show interest or experience in automation, AI-assisted microscopy, and data-driven experimental design. Have experience working with LLM-based chat assistants, AI agents
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Forecasting Agent-based Modelling and Simulation Data-driven Modelling Transportation Planning and Network Design Your profile Hold a PhD in applied mathematics or engineering Strong analytical and numerical
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conditions, and administrative and technical support, among other benefits. See more information at: https://www.umu.se/en/department-of-computing-science/. You will research in collaboration with
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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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-informed neural networks (PINNs) for integrating mechanistic constraints into ML frameworks, and creating LLM-based agents to assist with mechanistic model construction and knowledge curation. Track B
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support, among other benefits. See more information at: https://www.umu.se/en/department-of-computing-science/. You will research in collaboration with the Associate Professor Zoe Falomir. Interested