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modelling and simulation of complex systems reinforcement learning or graph neural networks proficiency in Python and related computational toolchains a strong interest in interdisciplinary research bridging
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or graph neural networks proficiency in Python and related computational toolchains a strong interest in interdisciplinary research bridging project governance, systems thinking, and intelligent control
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wave theory and nonlinear optics conduct research either independently or as part of a team contribute to journal publications and other academic outputs produce software implementations
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ability, including coding (e.g., ‘R’) and solid understanding of underlying theory of contemporary modelling approaches demonstrated technical experience in marine biodiversity assessment and implementation
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the following key capabilities: A PhD in a relevant field Demonstrated experience working with ecological datasets Demonstrated experience in statistical inference and reporting Knowledge of models and theory in
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. Demonstrated experience in performing simulations at the atomic-scale, such as density functional theory (e.g. VASP, Ab-init, Quantum espresso), molecular dynamics (e.g. LAMMPS, DL-POLY), development of inter
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funded by the Advanced Strategic Capabilities Accelerator (ASCA) Emerging and Disruptive Technologies (EDT) program. This role will focus on developing and/or applying psychological theory- and data-driven