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Field
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model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas film flow within the microscopic seal gap. Couple CFD with Structural Models: Study the fluid-structure
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Finite Element Model of the Larva Body: Utilise existing Drosophila larva CT-scan data to segment components such as the cuticle, muscles, and mouth hook. Implement finite element simulations within
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tools and models of integrated health and social care. The successful Research Assistant will support the team and co-develop a PhD project within the remit of the workstream. Research priorities and
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background in Intelligence, Security, or a similar degree with an academic level equivalent to a two-year master's degree and with an interest (and ideally some experience) in Agent-based Modelling, Simulation
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numerical optimization and simulation models. Proficiency in one of the major programming languages such as Python A collaborative team player with a desire to make a personal impact within our
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join the team of Dr. Hennie Valkenier in the EMNS lab to receive training and work on different aspects of the development of synthetic ionophores: Design and molecular modelling of anion receptors, as
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knowledge of digital methods, particularly in the areas of geometric modelling, architectural and structural simulation and materialisation at various scales Interest and proven skills in digital and manual
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contribute to the design and development of Machine Vision approaches for the quantitative analysis and phenotyping of agricultural systems: Training/Development of computational models for the quantitative
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responsibilities will include: Design and develop analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN
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for implementing ONNs. Modeling, simulate and benchmark different computing tasks such as combinatorial optimisation tasks and solving partial/ordinary differential equations with ONNs. Design and tapeout ONN chips