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techniques such as back-light imaging and Schlieren, you will study solid CO₂ layer growth and the thermal and concentration boundary layers near the surface. Your work will contribute to a predictive
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Fischer–Tropsch synthesis (FTS). In this project, you will focus on understanding how variations in CO/CO₂/H₂ ratios and the presence of contaminants influence catalytic activity, selectivity (e‑naphtha
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(Kirchhoff's laws) as soft or hard constraints, operational bounds (voltage limits, capacity, phase balance), and network topology through graph neural network architectures. You will build validated benchmark
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. Job description Wireless communication can make control systems cheaper and easier to deploy, but bandwidth and energy limitations, as well as vulnerability to cyber-attacks, restrict its use in
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and scientific excellence are valued. The group works closely across fluid mechanics, soil mechanics, hydraulic engineering and ocean engineering, using various computational and experimental techniques
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sensors. Accurate temperature monitoring is essential for thermal management in complex quantum systems, where temperature variations can affect performance and reliability. Existing cryogenic sensors
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on the development of integrated cryogenic temperature sensors. Accurate temperature monitoring is essential for thermal management in complex quantum systems, where temperature variations can affect performance and
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or hard constraints, operational bounds (voltage limits, capacity, phase balance), and network topology through graph neural network architectures. You will build validated benchmark datasets and an
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translated into the underlying mathematical models. They may, for example, arise from perturbations in boundary conditions, input parameters, or geometrical properties. When neglecting the influence
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, optical losses still limit device performance. Reflection losses, parasitic absorption, and incomplete spectral splitting reduce the efficient use of sunlight in tandem architectures. In this PhD project