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Field
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at different levels of biological realism, the design of analytical and numerical methods to study these models, and the analysis of data collected in the laboratory of our experimental collaborator David
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of research. These include: Computational physics, including statistical mechanics, biophysics, fluid mechanics, quantum physics, and molecular dynamics Numerical methods for partial differential equations and
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of the experimental models and the test setup for Task 2, including preliminary numerical modeling of the experimental models using a Finite Element Method-based software. Task 2: Execution of shake table tests with
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of diverse measurement methods for detecting airborne infectious disease threats. A critical aspect of your role will be ensuring robust, sensitive sensor performance with real-world samples, and effectively
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this will involve the development of novel ML/DL methods which leverage both computational and experimental data. Candidates should also have experience of numerical modelling (e.g. CFD and FEA), working as
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of diverse measurement methods for detecting airborne infectious disease threats. A critical aspect of your role will be ensuring robust, sensitive sensor performance with real-world samples, and effectively
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excellent signal processing and/or acoustics background; experience with developing new spatial audio methods and/or with designing/executing listening experiments. They will be hosted by the IoSR
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methods to evaluate the UFS ‘s ability to predict extreme events. The purpose of the project is to evaluate the biases and skill of the sub-seasonal to seasonal forecasts generated with the UFS prototypes
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numerical solvers for 2D and 3D phase field models Develop HPC-ready simulation pipelines for large-scale rupture and fracture-fluid systems Optimize performance for modern architectures including GPUs and
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on mechanistic empirical pavement design and balanced mix design standard development. • Model pavement behaviours using analytical and numerical methods with the end goal in modification of mechanistic