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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | 18 days ago
computational models for comprehensive device evaluation. Research focuses on four areas: hemocompatibility testing for blood damage, hemodynamics assessment under simulated conditions, device durability
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University. Key Responsibilities: Conduct research on methods and approaches to support air traffic management studies and applications. Develop, test, and evaluate analytical models, algorithms, and tools
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: simulation and risk modelling using advanced statistical and machine learning based methods. strategic portfolio management and dependency structure modelling for financial assets. effects of climate change
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methods. The objective is to understand the relationship between the training data space and the space of the model's generative possibilities, and to use evolutionary computation techniques to guide
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the critical need for child-centric safe AI by developing a norm-first Belief-Desire-Intention (BDI) architecture where generative models (LLMs) are constrained by machine-readable child-protection policies
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
data-driven modeling, parameter estimation, or model calibration Familiarity with high-performance computing or large-scale simulations Interest in close collaboration with experimental researchers
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and BSL-4 laboratories utilizing a wide range of techniques such as in vitro and in vivo infection models, flow cytometry, ELISA, western blots, and multiplex immunoassays. Our projects rely
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position (100%, three years) is related to finance and insurance. The theme of the research project will lie within areas such as: simulation and risk modelling using advanced statistical and machine
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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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Fellow. You will contribute both independently and as part of a team to collaborative research and development in sustainable energy modelling. In this role, you will play a key part in advancing the net