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computational approaches towards a new project which seeks to better understand the causes and consequences of the correlation between multiple traits and to quantify trait variation that arises from new
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ABOUT VINUNIVERSITY’S RESEARCHERS 200 VinUniversity is proud to launch the Researchers 200 Program, designed to attract exceptional early-career researchers from around the world to join our vibrant
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PhD in Computer Science: Sustainable AI for Plant Species Recognition in Tropical Forests School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Jefersson Alex dos
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Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
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application of computational tools for the early detection and deconstruction of chromosomal instability in cancer” For further information about the research group, including their most recent publications
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and placement. This research aims to answer the following key questions: - How do varying porosity, core material characteristics, and breakwater geometry influence wave overtopping rates and resulting
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oscillators interacting with body geometry and environment, rather than from centralized digital control. Using a combination of reduced-order models (Hopf/van der Pol/Kuramoto type) and experimental
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-landslides, orographic rainfall effects and extremes), using the volcanic island of Tenerife as a case study. Some work has been done (e.g. on Hawaii), but knickpoint geometry and using state-of-the-art
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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position initially and is expected to be held full time and in person. You will join the CNNP Lab, which is well supported with recent funding of over £3M. The lab is based in the School of Computing