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the battery and propose design and operational strategies to overcome them. A core feature of your work will be combining multiphysics modelling for cell design with electrochemical testing, e.g. charge
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Model physics. This is what you will do In particular, you will investigate the role of radiative corrections in beta-decay processes, new methods to better understand neutrinofull and neutrinoless double
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dimension of plant immunity, which has remained mostly unexplored to date, is the fascinating topic of this GreenTE position. The textbook model postulates that plant receptors recognize pathogen-derived
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devote attention to your onboarding. If some of the work activities are new to you, we will look together at what you need, and draw up a development plan. This position is a good fit for you if you
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risk of cardiovascular disease. Your main tasks and responsibilities are: developing deep learning-based model for detection and quantification of coronary calcifications in contrast-enhanced CT images
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methane. Improved scientific knowledge is needed to design the most efficient climate mitigation policy. You join the development of the global atmospheric inverse modeling system TM5mp-4DVAR, that is used
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us at TU Delft to develop monitoring and modelling tools
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investigates fundamental mechanisms regulating heart development and disease, with particular emphasis on how heart rhythm is established at the cellular and molecular levels. We use state-of-the-art model
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for low-frequency railway vibrations—bridging experiments, modelling, and sustainable railway innovation. Interested? Job description TU Delft, in collaboration with ProRail and Cohere Consultants, invites
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of floodplain channels and lakes). By combining field monitoring and numerical modelling approaches, we will assess how reactivated paleochannels, constructed floodplain systems, or other solutions can create