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Field
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modelling for conversion and sorbent regeneration, in conjunction with another PhD student in the department who will perform CFD modelling and other researchers performing process system modelling within
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of neural networks, for reconstructing MR images directly from MR signals. By incorporating a physical model of the MR signal into the training of the INR network, we aim to compensate for the effects
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support adaptive and automated process execution.• Extending BPM models, notations, methods, and technologies to enable sustainability-driven decision-making.• Evaluating and validating proposed solutions
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to investigate the potential of using Implicit Neural Representation (INR), a class of neural networks, for reconstructing MR images directly from MR signals. By incorporating a physical model of the
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, these flows remain poorly understood. As a result, even the most basic properties cannot be predicted reliably. For instance, the best available models over- or underestimate the measured pressure drop in a
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two clinical studies in Kenya and Zambia, assessing whether E. coli carriage contributes to Enterobacteriaceae colonization and ARG transmission. Finally, the PhD student will use agent-based modeling
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multi-fidelity modelling, your research will advance and integrate three core elements: (i) physics-based multi-fidelity structural models enabling high-resolution analysis at fatigue-prone hot-spots
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of Antifungals: Conduct and oversee preclinical in vivo studies in relevant animal models to assess efficacy, pharmacokinetics, and safety of antifungal candidates. Mechanistic mycology Studies: Investigate fungal
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stakeholders. Ability to manage in a scientific environment with in depth knowledge of the different models of research operations while enhancing a collaborative approach. Knowledge of the National Research
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external stakeholders. Ability to manage in a scientific environment with in depth knowledge of the different models of research operations while enhancing a collaborative approach. Knowledge of the National