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approaches (e.g., agile methods, model-based development, CI/CD pipelines) in concrete research projects. Publication of research results at national and international conferences. Assistance in preparing
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-equilibrium conditions. The project is a UKRI/NSF collaboration with Virginia Tech, and the use of direct numerical simulation, modelling and analysis will be complemented with experimental data from
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. Experience with isotopic box modeling, numerical simulations, and statistical analysis. Demonstration of effective communication of scientific and technical results (e.g., peer-reviewed publications
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, regression models, multistate models, simulation models, life table and decomposition approaches, causal inference, matrix population models). Desirable: B1. Scottish Credit and Qualification Framework level
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Your Job: In this position, you will be an active part of our "Simulation and Data Lab Applied Machine Learning". Within national and European projects, you will drive the development of cutting
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developing novel materials with engineered properties that go beyond those found in nature. Responsibilities Metamaterial Design and Simulation: Use electromagnetic modeling and simulation software, COMSOL
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landscapes, including our partners at the UK CEH. Eligible candidates must have a background in simulation modelling and a proven ability to communicate results. They should have obtained, or will soon obtain
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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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simulations and perform computational experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including
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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