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not necessarily conserve mass, as they used black-box model structures far away from that of rainfall-runoff models. For these reasons, neural hydrology is often criticized by the conventional
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cellulose and yield fundamental insights into supramolecular structure and dynamics in biomaterials. Your profile We are looking for a candidate with the following qualifications: • Master’s degree in polymer
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holistic multi-hazard risk framework capturing cascading effects across systems and scales; (2) the creation of digital environments utilizing real-time data for dynamic risk evaluation; (3) the advancement
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holistic multi-hazard risk framework capturing cascading effects across systems and scales; (2) the creation of digital environments utilizing real-time data for dynamic risk evaluation; (3) the advancement
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al., Nature Comm 2021; Müller, … Brägelmann, Can Res 2023; Pisula, …, Brägelmann, Nat Prec Onc 2025). Your project: In this project we will investigate tertiary-lymphoid structures (TLS), which have
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dynamics of these devices to perform complex learning tasks with extreme energy efficiency. Your Job: Develop and apply meta-optimization that can automatically search for the best algorithm-hardware pair
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Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven, experimentally grounded workflow for rapid microstructure-property optimization in steels. The PhD student will
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dynamic, highly international team Excellent equipment and a collegial working environment Individual support and promotion of your scientific career through learning state-of-the-art techniques and
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your doctoral degree: A dynamic, interdisciplinary research environment at the forefront of materials informatics Comprehensive training courses and individual opportunities for personal and professional
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at demonstrating how teacher learning can be made robust in an event-based framework, that is, when both the teacher model and the learning rules are event- based. The combination of excitable teacher dynamics and