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and tectonic significance of these inferred basement structures remain insufficiently constrained. The overall objective of this PhD project is to test and refine existing structural models by
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling
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integrating statistical-mechanical theory, quantitative modeling, and experimental single-molecule methods. We aim to develop mechanistic models of receptor activation that combine physical theory with data
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Description We invite applications for a fully funded PhD position within the DFG Priority Programme SPP2389. https://tu-dresden.de/mn/biologie/allgemeine_mikrobiologie/spp2389?set_language=en
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of language. Required qualifications PhD (or confirmed defense date) in neurolinguistics, cognitive neuroscience,psychology, or a related field Experience with fMRI acquisition and/or analysis Demonstrated
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approaches. The PhD will develop and apply optimization-based energy system models to analyse whether spatially coherent urban and energy configurations can be operated efficiently under realistic physical
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to accelerate the path to certification. More details on the project can be found here: https://hecustom.eu/ This post will contribute to the creation and validation of a digital twin (with biological bone models
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, evaluation, and interpretation of AI models on single-cell biological datasets, while keeping downstream translation and valorization potential in clear focus. Key responsibilities Apply and evaluate advanced
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perturbation modelling. The ideal applicant brings not only strong technical skills, but also interdisciplinary knowledge on the subject. More precisely: PhD degree in computer science, machine learning
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Posted by Kate Stuart on Wednesday, March 18, 2026 in Job Opportunities . Recent studies from the lab (https://cruchagalab.wustl.edu/ ) have demonstrated that circular RNAs