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molecular systems and molecular dynamics. You will contribute to advancements in the use of nonequilibrium dynamics in quantum algorithms for applications in decarbonisation. Positioned at the
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), target and pathway modulation (PD), and tumour dynamics, with EGFR- and KRAS-driven non-small cell lung cancer as the flagship setting. A complementary stream applying machine learning to
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media flow, electrochemistry, bubble dynamics. Demonstrated experience in experimental fluid mechanics, electrochemical measurements, flow diagnostics, high-speed imaging, image processing, or
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-dynamical perspective, offering substantial scope for fundamental new insights. Keywords: applied mathematics Computational Fluid Dynamics Fluid mechanics Application Instructions To Apply Applicants
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microkinetic modelling (such as CatMAP or custom Python implementations) experience with constant-potential simulations, explicit-solvent methods, ab initio molecular dynamics or electrochemical-interface
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you completed PhD in Mechanical Engineering or equivalent demonstrated research experience in combustion, compressible or high-speed fluid dynamics, supersonic/reacting flows, experimental fluid
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-film or flexible device fabrication, and structural modelling of amorphous materials, such as reverse Monte Carlo or molecular dynamics would be considered favourably. We particularly welcome
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dynamics, stability analysis, renewable energy integration, or related areas. Knowledge of data-driven analytics, machine learning, signal processing, or advanced modelling techniques relevant to power
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decision-support resources. Research: Lead stakeholder decision dynamics research with growers, advisers and industry representatives, including research design, sampling, ethics, quality assurance
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. Computational fluid dynamics or multiphysics modelling to support device design and interpretation of experimental results, using COMSOL, ANSYS Fluent or equivalent tools. Process simulation or techno