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Field
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Responsibilities: Lead the design, implementation, and validation of data-driven Digital Twin (DT) models to simulate and forecast dynamic energy demands and renewable generation patterns within shipyard operations
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successful applicant will focus on expanding the capacity of the Centre for Water Systems’ existing methodologies and models to simulate urban runoff dynamic and water quality, analyse the propagations
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of an ageing population. The research methods include decision science and simulation modelling, survey research, qualitative research, health economics, and implementation science and evaluation. We are also
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the system Development of inverse design frameworks using machine learning Development of full simulation for the chip-scale chirped-pulse amplification Use the full simulation to guide system fabrication
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skills and experience: Essential criteria Upper second or first degree (BA, BSc or equivalent) and PhD in behavioural, social, management or health sciences, or in a discipline with a health-related
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training, conferences, and meetings. Mentorship in ocean simulations, submesoscale dynamics, and data analysis will be provided. About you You must hold a PhD (or equivalent experience) in a relevant field
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. However, most studies to date have focused on symmetric bilayers. This project addresses this gap by integrating molecular dynamics simulations with experimental techniques such as solid-state NMR
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development of next-generation computational tools for simulating particle-laden two-phase flows by integrating advanced Artificial Intelligence (AI) techniques with traditional computational fluid dynamics
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: Doctoral-level degree in bioethics, philosophy, public health, law, medicine, social science, history or other relevant discipline, with fewer than five years of post-PhD research by the start date
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. Apply and upscale models to industry-relevant scenarios, deploying simulations on high-performance computing (HPC) infrastructure and integrating outcomes into commercial workflows. Collaborate and