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scientists—on projects that bridge methods, policy, and practice. Position Description: This role will involve intensive analysis of claims data and related large administrative datasets to support policy
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This 36-month postdoctoral position is part of the project ENLIGHT (Enabling a Lifecycle Approach to Graphite for Advanced Modular Reactors) consortium, a £13.2 million, five-year programme
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datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress conditions. Implementing a multimodal approach for large-scale data analysis using CPU and GPU
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, and tyre wear particles. Conducting a multicriteria decision analysis (MCDA) to guarantee the sustainability of the developed filters and the upscaling process for full-scale use. Create a design guide
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. Ability to work independently and as part of a multidisciplinary team. Ability to multi task and work cooperatively with others. Preferred knowledge, skills and abilities: Strong background in dairy health
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molecular dynamics simulations across multiple resolutions, most likely from the atomistic to the coarse grained level, using a variety of force fields and computational methods. Run large-scale simulations
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About the Role The role will work on a project focusing on the commericalisation of research-led monitoring, reporting and verification services for nature-based solutions. The role will involve
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of nonlinear dispersive equations and their discretization. The objective will be to establish new robust and efficient schemes for the simulation of quantum fluids dynamics, to perform their numerical analysis
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distribution systems. Current research initiatives include developing advanced vibration analysis methodologies for wooden packaging systems, predictive modeling for packaging performance, and optimization
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. Contributing to the development and implementation of suicide prevention and intervention strategies. Â Collaborating with faculty and staff on research design, data collection, analysis, and interpretation