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systems and swarm robotics. The project builds on well established computational and mathematical modelling techniques to achieve its aims. Departure points will be agent-based simulations, optimisation
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RAP opportunity at National Institute of Standards and Technology NIST Computational Modeling of Progressive Structural Failure and Collapse Location Engineering Laboratory, Materials and
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RAP opportunity at National Institute of Standards and Technology NIST Advanced computational modeling techniques to enable fast screening of RNA biopharmaceutical products Location Material
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data. Implement and validate models using statistical and computational methods. Data analysis: Collect, preprocess, and analyse data ensuring the accuracy and reliability of input data for models
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RAP opportunity at National Institute of Standards and Technology NIST Computational Modeling of Fracture and Fatigue in Hydrogen Environments Location Material Measurement Laboratory, Applied
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Smart Computer Models for Nuclear Reactor Design School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof S He Application Deadline: Applications accepted all year
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team, your expertise in AI and other cognitive computing methodologies, such as but not limited to machine learning (ML), large language models (LLMs), small language models (SLMs), natural
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, staffing models, and operational plans in collaboration with academic and finance teams Manage project timelines, documentation, and scalable systems for academic program development Oversee relevant vendor
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models Must have strong computer skills Able to learn/master UCLA CareConnect software Strong self-management and organizational skills to successfully meet job responsibilities Excellent oral and written
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We are seeking a highly motivated postdoctoral researcher to join our group and contribute to advancing the spatial scalability of forest dynamics models in support of integrated forest management