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topics include (a) AI, machine learning, and large language models for measurement challenges (e.g., for small-sample calibration or for accelerated algorithms), (b) identifying and investigating aberrant
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
, computation, and experiments to model and manipulate the physical forces experienced by invading cancer cells. The overarching goal is to identify biomechanical “weak points” in cancer cell invasion and to
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evaluation, and optimization using model-checking techniques, ultimately bridging static system design and dynamic operational analysis. We offer an attractive salary and benefits package as per University
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candidate will conduct advanced methodological and psychometric research. Potential topics include (a) AI, machine learning, and large language models for measurement challenges (e.g., for small-sample
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exhibit hallmarks of active matter. This PhD project aims to develop theoretical and computational active-matter models of early mouse embryogenesis that couple collective cell mechanics with gene
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models to identify habitable planets around other stars. Within three different research themes: (1) Planets and Early Earth, (2) Modern Earth, and (3) Exo-Earths, we are keen to explore the internal and
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
consortium and work closely with three other PhD students, combining theory, computation, and experiments to model and manipulate the physical forces experienced by invading cancer cells. The overarching goal
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to contribute to an active and collaborative research environment. We welcome applicants with a strong background in statistics, who are eager to carry out research on statistical issues related to models and
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neutron scattering (SAXS/SANS) along with theoretical model analysis including the use of multi-scale and artificial intelligence models. The PD will work closely with both the PhD candidates and PIs within
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environmental modelling frameworks to analyze hydrogen systems as part of an interconnected energy-environment system. As a PhD candidate, you will develop database and energy/environmental modelling approaches