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Job Description If you are establishing your career as a scientist and you are looking for the best possible foundation for fulfilling your dreams and ambitions, it is right here in front of you. We are looking for a passionate PhD candidate in Thermal Energy Systems with strong programming,...
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model checking. You should be well versed in basic statistics and practical programming skills is a must. Knowledge about the inner workings of GenAI would be nice but not necessary. You must have a two
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generalization. However, existing machine learning theory does not fully explain this behavior, leading to the development of new approaches. A promising explanation is that models are implicitly regularized
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, laboratory testing and data augmentation. Your main goal will be to develop predictive models for assessing the degradability of bioplastics, facilitating a transition to more sustainable materials. More
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astronomy. You will be involved in the observations and modeling of extreme astrophysical phenomena, such as supernova explosions, the tidal disruptions of stars around supermassive black holes, and the
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-objective optimization, and online decision-making approaches are relevant areas of expertise for this position. Previous experience with developing models, tools, or processes is desired. The candidate has
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for resilient manufacturing systems. This topic will build upon existing theory on modular and reconfigurable manufacturing systems and develop methods and model-based approaches to design and evaluate resilient
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spanning a wide range of fields including applied cyber-physical systems, advanced mechanical systems, modelling and mechatronic prototyping. Your profile To complement our team, we are looking for one
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to: Perform prospective life cycle assessment of emerging technologies in the blue bioeconomy domain, specifically microalgae production Focus explicitly on quantitative approaches for consequential modelling
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. The successful candidate will work on developing new theoretical models and computational methods to investigate the fundamental limits of polariton-assisted inelastic electron tunneling in tunnel junctions made