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to increase resource use efficiency. However, managing and optimizing these new cultivation systems requires crop models that can predict plant growth, crop yield and resource use under highly dynamic
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for applications in urban environments with a specific focus on pollution control and contaminant mitigation in water treatment, soil remediation, and biochar application in composting. Your work will include
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process. This project offers a unique opportunity to work at the intersection of machine learning and control theory. You will develop rigorous theory and scalable computational methods for certifying
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Analyzing the impact of battery chemistry, aging history, operational profiles, and pack architecture on second-life performance, safety, reliability, and lifetime using a Digital Twin. Developing
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Circulatory Support (MCS) experimental lab with real-world clinical analysis in patients with cardiogenic shock and cardiothoracic surgery. You will work at the frontline where engineering, physiology, and
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Challenge: Extreme water events threaten people and infrastructure Change: Understand impact dynamics with experiments and numerical simulations Impact: Optimize the design of resilient
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researcher will combine thermodynamic modelling, process simulation, and crystallization engineering to enable process optimization and scale-up. The tasks include: Development of thermodynamic models
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of nanoscale features on chips, ensuring that critical dimensions and overlay accuracy meet the tolerances required for functional devices. As transistor geometries continue to shrink, the performance of optical
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stationary and mobile energy storage systems with focus on battery degradation and cell-to-cell variations Analyzing the impact of battery chemistry, aging history, operational profiles, and pack architecture
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. The ideal candidate holds a PhD in transport, operations research, civil engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in