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sources, and that the operations must be less predictable in their chosen transport means and locations. Thus, the goal is to explore reduced predictability while sustaining the units to be supplied
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energy system optimization models including, e.g., reservoir productivity predictions, novel surface processes for CRM extraction, CO₂ reinjection, and reconversion of decommissioned oil wells Economic
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controlled systems. The end goal is a mechanistic and clinically relevant map of how CIN shapes cancer behavior and where it can be targeted. What you will do Build robust, reproducible scRNA-seq analysis
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students on the topic of understanding and predicting the dynamics of complex engineering systems in order to develop advanced control, estimation, planning, learning and diagnostics strategies which
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exciton–exciton interactions in semiconducting 2D materials such as MoTe₂. Using ultrafast spectroscopy on EDC cavities coupled to excitonic layers, we will test theoretical predictions of single-photon
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issues. It is therefore essential to be able to predict and control the moisture state in construction materials. Traditional material characterization methods, standards and models for hygrothermal
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: Digital twin development for heritage risk preparedness AI-based predictive monitoring (humidity, flooding, structural stress) Integration of GIS/BIM, LiDAR and IoT telemetry Federated data architecture and
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the field of computational morphodynamics in plants. The work will be within the BBSRC-funded project "Tipping the balance: utilising hormonal crosstalk to control stem cell plasticity", with the aim
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. We will prioritize hits with suitable predicted drug metabolism and pharmacokinetic properties for optimization using organic synthesis. Finally, you will validate specificity using biophysical methods
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al. (2024) – Workload assessment in robotic teleoperation (Scientific Reports) https://doi.org/10.1038/s41598-024-82112-4 Ly et al. (2021) – Predictive haptic guidance in shared control (IEEE RO-MAN