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activated carbon filters using advanced analytical techniques. Project overview In this PhD project, you will analyse the removal of organic micropollutants (OMPs) from wastewater in biological activated
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. This will be achieved by combining advanced constitutive models that capture the rate-dependent (creep and porewater pressure) response of sensitive clays with erosion models enabling system-level studies
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responsibility is to conduct high-quality research on hybrid artificial intelligence. You will: Combine deep learning to capture long-term patterns and uncertainties with stochastic model predictive control
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, environmental assessment tools, and cost-minimizing models, where all energy sectors compete for the same primary energy sources in a future carbon constrained world. Currently, we have a special interest in the
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achieved by combining advanced experimental probing with the development of constitutive models that capture the rate-dependent (creep and porewater pressure) response of sensitive clays. Thus, we will be
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operation of ACPS, we need to have a comprehensive understanding of the behavior of the underlying components and capture the conditions of the environment in which these components will be trusted to behave