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Description The Research Training GroupGRK 2868 D³ - Data-driven Design of Resilient Metamaterials funded by the German Research Foundation has started in October 2023. Our vision is to develop and
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particular, we aim to develop a neural network architecture that will allow us to accelerate solving AC power flow (AC‑PF) computations, potentially facilitating real‑time contingency analysis, rapid design
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(e.g., tissue, cell type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks Design and implement clustering and integration approaches (e.g., network-based and
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to harness the genetic diversity and evolutionary history of a wheat immune receptor pair to uncover the molecular mechanisms underpinning paired receptor compatibility and guide the design of optimised immune
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innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves
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innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves
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and training provision within CAFE-BIO are available from the network website ( https://cafe-bio.org ) and the official EU page for the network ( https://cordis.europa.eu/project/id/101226762
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everyone to reach their full potential. TUD embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation. For TUD diversity is an
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RTG3120 on Biomolecular Condensates ( https://dresdencondensates.org ). Each PhD project is part of an interdisciplinary framework that includes shared training activities, and supervision by
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design and analysis of algorithms for the exact or approximate solution of these problems Implementation, empirical analysis, and comparison of these algorithms using data publication of research results