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Field
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analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and
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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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interfacial processes in complex materials systems. Advanced data analysis and scientific model development using Python or other scientific programming languages, including experience with automation
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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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statistical techniques (e.g., multilevel modeling, SEM) or qualitative analysis (e.g., grounded theory, thematic analysis). Experience with grant writing or collaborative team science. Physical Requirements
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and granular substrates. In this role, you will perform numerical simulation and reduced-order modeling of naturally-shaped granular materials interacting with specific foot structures. You will also
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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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focus on the conceptualisation and prototyping of spatial data infrastructures and registries for space environments and objects. The role involves research into spatial data models for representing
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, or engineering of AI models or methods and their applications in cognitive science. The AI Postdoctoral Research Fellow joining the NAM initiative will contribute to one or both current core projects, "Explanation