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change, market dynamics, and daily grid variations. These factors contribute to heightened structural and control complexity, along with multiple layers of uncertainty. In this context, Hybrid Power Plants
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. This research is performed in two research labs: the Digital power and energy systems lab (EES DigiPES lab) and the Electricity markets and power system optimization lab (EES EMPDO lab). The former focuses
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. For complex conditions such as multiple sclerosis and autism spectrum disorder, progress has been slowed by animal models that optimize for single causes or treatments, without reflecting the diversity and
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of cortisol and its metabolites, and data collected from wearable devices. The overall objective is to define the optimal range of tissue cortisol. About the project/work tasks: The project includes: A case
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properties to performance. Optimize reaction conditions and explore scale-up potential. Document experiments, publish results, and present findings at conferences. Collaborate with the Catalysis Engineering
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employ multiple strategies. On the one hand, it can draw upon its own knowledge acquired through past experiences to extrapolate the consequences of ongoing events or predict the outcome of its actions. It
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Informatics (Numerical Analysis; simulation, optimization and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering), Condensed Matter Physics (Fluid
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adapt to its complex environment, an individual can employ multiple strategies. On the one hand, it can draw upon its own knowledge acquired through past experiences to extrapolate the consequences
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. Empa is a research institution of the ETH Domain. Empa's Laboratory of Biomimetic Membranes and Textiles is a pioneer in physics-based modeling at multiple scales. We bridge the virtual to the real world
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-target interactions, and optimize them towards validation as preclinical platforms alternative to animal model for drugs screening and development. The project is part of a collaborative effort and will