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for temporal quantum learning. Construct and analyse quantum reservoir-induced kernels and associated finite-sample bounds. Run numerical simulations and benchmarks validating the theory. Publish in leading
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convective hazards. The model development will be aided by synthesizing observational data and high-resolution numerical simulations to gain new conceptual insights on cloud life cycles. Potential
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numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team, (v) writing research reports, publishing
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Faculty/Department-Level Unit: Ng Hui Khoon Group Employee Category: Contingent Location_ONB: Kent Ridge Campus Posting Start Date: 03/08/2026 Job Description To build a numerical simulator for the Bicycle
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CFD simulations to investigate flow, mass, momentum and energy transfer within the injector; · Contributing to the detailed design and manufacturing of injector prototypes; · Adapting and operating
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CCM+. Experience developing scientific software using Python and/or C++. Experience with external aerodynamic simulations. Experience with mesh generation and numerical simulation workflows. Desirable
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include: development and implementation of numerical codes for time evolution in AdS, holographic studies of turbulence, holographic simulations of heavy ion collisions, calculations of quasi-normal modes
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turbulent flow simulations. 3. Background in numerical methods and scientific computing. 4. Proficiency in Python programming and high-performance computing on modern GPU-based platforms
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for studying nanoscale magnetic and magnet-superconductor hybrid systems, and implement these in numerical simulation codes. Interested candidates should send a motivation letter, a CV and the contact
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advanced numerical and experimental methods for simulating fluids and multi-physics including mesh-based methods, spectral methods, and particle-based methods applied to multiphase flows and civil