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mechanistic, network-based, and ODE-driven models to study complex biological systems in computational systems oncology. Translate biological and clinical questions into robust mathematical and computational
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-the-loop (HIL) validation. The Research Staff will contribute to the design, modelling, simulation, validation, and optimization of electric vessel power systems, with strong emphasis on battery-based
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-based models that optimise and control pharmaceutical manufacturing processes effectively. Your main responsibility is to develop and enhance discrete element models (DEM), integrating physics-based
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[map ] Subject Area: Systems Engineering / Control Systems Salary Range: $56,484.00 - $80,000.00 (Based on Education and Experience) Appl Deadline: 2026/03/01 04:59 AM (posted 2024/04/09 05:00 AM
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inference Develop distributed model training and inference architectures leveraging GPU-based compute resources Implement server-less and containerized solutions using Docker, Kubernetes, and cloud-native
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-reciprocity of spin waves Angular Momentum of Magnons Magnetically doped Transition Metal Dichalcogenide Thin Films via Molecular Beam Epitaxy Modeling of a magnonic diode based on spin-wave non-reciprocity in
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powerful ways to process quantum information using superconducting resonators and bosonic modes. To make these systems perform reliably, their quantum dynamics must be modeled carefully and their control
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-learning–based segmentation, species classification and lineage tracking workflows for multi-species time-lapse data Optimise models and pipelines for real-time performance, enabling adaptive imaging and
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, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant