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product quality attributes, such as remaining shelf life. Process measured sensor data of commercial cold chains, analyze data for variability, and reformat data in databases. Use the simulation-based
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for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks
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”, at Brunel University London, who must start by 1st October 2025. BCAST is a speciality research centre in metallurgy with a focus on processing of metallic materials for light weighting applications
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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Using finite element modelling (FEM) to simulate different hole configurations and validating these models with cadaveric femur specimens, this study will provide crucial insights to optimise
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study, you will develop a model for the dynamic methane cycling in global inland waters. This model will build on our pioneering model framework and simulate the changes in cycling fluxes of major carbon
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activities are focused on the modelling of the mechanics of structures, components, and processes along with involved materials, thereby providing mechanics-based solutions and virtual solution tools to our
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gain insights into the time scales, strength, and interactions of different processes in the Earth system that play a role. You will investigate the observed annual cycle including interannual variations
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matter and computer simulations. Knowledge on programming is essential. Experience in using simulation packages will be appreciated. Excellent command in written and oral English (C1) Team player and high
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. When will